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when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth str...\n\nTags: latest:1.0.6\n\nVersion history:\n\nv1.0.6 | 2026-07-16T17:51:37.358Z | user\n\nDescription tail link + agents machine-readable metadata line (deciqai.com/s/ansoff-matrix.json)\n\nv1.0.5 | 2026-07-09T11:15:15.720Z | user\n\nRefresh: 2024-2026 AI-era worked examples added (strategy/leadership + systems/game-theory batch)\n\nv1.0.4 | 2026-07-08T10:53:29.116Z | user\n\nFooter now uses /c/ short link (fixes UTM truncation when SKILL.md is read in a terminal)\n\nv1.0.3 | 2026-07-08T03:50:28.966Z | user\n\nSecond primary-sourced worked example\n\nv1.0.2 | 2026-07-08T00:37:54.042Z | user\n\nRefreshed content + GitHub star link in footer\n\nv1.0.1 | 2026-07-07T20:29:02.848Z | user\n\nAdd catalog categories and topics\n\nv1.0.0 | 2026-06-26T05:17:15.234Z | user\n\nInitial publish\n\nArchive index:\n\nArchive v1.0.6: 7 files, 14688 bytes\n\nFiles: examples/ai-startup-growth-options-2024-2026.md (7395b), examples/amazon-sequenced-growth-1994-2006.md (2807b), examples/disney-diversification-sequence-1928-1955.md (4224b), references/sources.md (2112b), skill-card.md (2239b), SKILL.md (10197b), _meta.json (132b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead). More: deciqai.com/c/ansoff-matrix\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: `swot-analysis` (assess strengths per quadrant first); `bcg-matrix` (which BU needs growth, then Ansoff picks direction); `porters-five-forces` (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n- An **AI-native company** is weighing deeper penetration vs. new segments vs. shipping autonomous agents vs. diversifying — under rising AI capex, fast AI adoption, and AI-native competition\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md) · [Disney's Diversification Sequence (1928–1955)](examples/disney-diversification-sequence-1928-1955.md)*\n*→ 2026 lens: [An AI Startup's Growth Options (2024–2026)](examples/ai-startup-growth-options-2024-2026.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Product Development as equivalent risk | Both add one unknown, but mitigation differs: new market = distribution/localization/regulatory; new product = R&D/PMF. |\n| [D] Launching diversification at startup scale | Diversification requires surplus cash, management bandwidth, and a defensible core. Rarely appropriate below $10M ARR. |\n| [D] Confusing \"market growth rate\" with \"our ability to compete in it\" | A fast-growing market says nothing about your competitive position within it. |\n| [D] Assuming risk multipliers are precise | The 1×/2×/4× gradient is directional, not a precise calculator. |\n| [D] Ignoring the sequence principle under competitive pressure | \"Competitor X is already there\" is not sufficient to skip current-quadrant penetration. Expanding surface area before the core is defensible increases vulnerability. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- All four quadrants in current-year plan with similar resource commitments\n- \"Existing market\" defined so broadly that nearly any move counts as penetration\n- Market Development proposed for markets with zero validated demand signal\n- Entry criterion is \"when we feel ready\" rather than a named metric and threshold\n- Product Development items serve a different buyer persona with no analysis of the sales motion change required\n- Diversification justified primarily by \"we have cash\" rather than a named transferable capability\n\n## Verification\n\n- [ ] Existing product and market defined precisely, with stated penetration rate\n- [ ] Each growth option correctly classified to a quadrant\n- [ ] Feasibility scored on at least 3 dimensions per option\n- [ ] Primary quadrant selected (one); secondary optional (one); all others explicitly deprioritized\n- [ ] Entry criteria for next quadrant = named metrics with thresholds\n- [ ] 90-day milestone defined with stated accelerate/stop metric\n- [ ] Diversification options carry an identified specific transferable capability\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 227 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/ansoff-matrix** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\n*Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/ansoff-matrix.json*\n\nFile v1.0.6:_meta.json\n\n{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.6\",\n \"publishedAt\": 1784224297358\n}\n\nFile v1.0.6:references/sources.md\n\n# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf. Primary source for the Disney worked example; written with access to the Disney archives.\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n- OpenAI (2022–2025). Product announcements and news: \"Introducing ChatGPT\" (Nov 30, 2022) and \"Introducing ChatGPT Enterprise\" (Aug 28, 2023). Primary source for the 2024–2026 AI-startup worked example's product-and-market moves. https://openai.com/news/\n- Reuters / Associated Press (2023–2025). Reporting on ChatGPT weekly-active-user milestones and enterprise adoption. Used only for durable, widely-reported facts (fastest-growing-app-class scale and enterprise expansion), not for precise figures. https://www.reuters.com/technology/\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here.\n\nFile v1.0.6:examples/ai-startup-growth-options-2024-2026.md\n\n# Method in Action: An AI Startup's Growth Options (2024–2026)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nBy 2024–2026, the fastest-growing category of software company was the AI-native startup that had reached early product-market fit with a chat or copilot product and then faced the classic Ansoff question: where to grow next, when capital was abundant but compute costs and AI-native competition were both rising fast. This example uses OpenAI's ChatGPT-era arc as the anchor because its major moves in this window were widely reported and publicly announced — but the same mapping applies to any AI startup deciding between deepening current usage, opening new segments, shipping autonomous agents, or diversifying. Where a specific figure is not durably documented, it is stated in qualified terms.\n\n**Step 1 — Define Current Product-Market Baseline.** Product = a conversational AI assistant (ChatGPT, launched late 2022) plus a developer API. Market = individual consumers using the free/paid assistant, and developers building on the API. Penetration was already large but far from saturated: ChatGPT was reported to be among the fastest products ever to reach hundreds of millions of weekly users, yet paid conversion and enterprise coverage remained early. Baseline penetration is therefore \"high awareness, low monetized depth.\"\n\n**Step 2 — Enumerate Growth Options by Quadrant.** Concrete options, not slogans:\n\n- *Penetration (existing product, existing users):* convert more free consumers to ChatGPT Plus; increase usage frequency and retention; upsell existing API developers to higher tiers.\n- *Market Development (existing product, new market):* ChatGPT Enterprise/Team for large organizations with admin controls and data-privacy guarantees; education and government segments; new geographies and languages.\n- *Product Development (new product, existing users):* new model families and modalities (voice, vision, image generation), and — the defining 2024–2026 move — **autonomous agents** that take multi-step actions on the user's behalf rather than only answering.\n- *Diversification (new product, new market):* consumer hardware devices, or moving into a wholly different operating business (e.g., owning foundational compute/chip supply, or a new vertical unrelated to the assistant's users).\n\n**Step 3 — Score Feasibility and Risk.** Applying the quadrant risk multipliers (penetration 1×, one-axis 2×, diversification 4×):\n\n- *Penetration (1×):* highest capability match, lowest unknowns. Consumer-to-paid conversion and developer upsell need no new buyer to be discovered. Regress-test (\"if this were the only thing we did this year, could we win?\") passes cleanly.\n- *Market Development — Enterprise (2×):* one unknown — a materially different buyer (procurement, security review, admin, compliance) with a different sales motion than self-serve consumers. Large opportunity, strong product fit, but requires a real go-to-market build.\n- *Product Development — Agents (2×):* one unknown — can the new product reliably do a genuinely new job (autonomous multi-step action) for the *same* users? High opportunity, high competitive intensity (most major labs and many AI-native startups shipped agent products in this window), and real reliability/safety risk.\n- *Diversification — Hardware or new operating business (4×):* two unknowns at once — new product *and* new buyer/operating discipline. Capex-heavy, outside the core software capability, and rightly the lowest-priority bet for most AI startups regardless of cash on hand.\n\n**Step 4 — Select Primary Direction.** Primary = **Penetration + Market Development (Enterprise)** run together: deepen monetized usage of the existing assistant while opening the enterprise segment with the same core product. Secondary (≤20% of growth resources) = **Product Development (agents)**, because agents extend the existing product to existing users and were becoming competitively necessary — but they are resourced as the second bet, not the first. Diversification into hardware or a new operating business is explicitly deprioritized: it carries the 4× multiplier and is justified by \"we have cash / capital is available,\" which the skill flags as a red-flag rationalization, not a named transferable capability.\n\n**Step 5 — Set Entry Criteria for Next Quadrant.** Before shifting major resources from the core assistant toward agents as a *primary* bet, name a metric and threshold — e.g., \"agent task-completion reliability reaches an internally agreed success rate on a benchmark suite, and paid enterprise seat retention holds above target.\" Absent such a gate, \"we feel ready\" is not a criterion — the skill treats that as a red flag.\n\n**Step 6 — Plan 90-Day Agenda.** For the primary Penetration + Enterprise bet: a measurable milestone (e.g., named growth in paid seats and enterprise logos), a stated resource commitment (a dedicated enterprise GTM team distinct from consumer growth), and a single accelerate/stop metric (paid net retention). If retention holds, accelerate the agent bet; if the core leaks, fix penetration before widening surface area.\n\n**Sequence lesson.** The AI-native temptation in 2024–2026 was to pursue all four quadrants at once because capital and hype were abundant and AI compressed execution time. Ansoff's discipline still holds: AI shortens *time-to-ship* for Market and Product Development, but it does not remove the *unknowns* those quadrants add — a new enterprise buyer still behaves differently, and an autonomous agent still has to prove a new job-to-be-done. The strongest players sequenced: they deepened the core assistant and opened enterprise (the cheapest unknowns) before treating agents as a primary bet, and they treated true diversification (hardware, owned compute, unrelated verticals) as a last move requiring a specific transferable capability — never as a default justified by cash.\n\nThe mapped steps:\n1. Baseline: conversational AI assistant + developer API, for consumers and developers (2022–2024)\n2. Penetration: free-to-paid conversion, usage depth, developer upsell — same product, same users (1×)\n3. Market Development: enterprise/team/education/government segments and new geographies — same product, new buyer (2×)\n4. Product Development: new modalities and autonomous agents — new product, existing users (2×)\n5. Diversification: consumer hardware or a new operating business — new product, new market (4×), deprioritized absent a named transferable capability\n6. Entry logic: gate the agent bet behind a named reliability + retention threshold; keep diversification last\n\n*Sources: OpenAI. \"Introducing ChatGPT\" (Nov 30, 2022), \"Introducing ChatGPT Enterprise\" (Aug 28, 2023), and product announcements at https://openai.com/news/ . Reuters and Associated Press reporting on ChatGPT weekly-active-user milestones, 2023–2025, used only for durable, widely-reported facts (fastest-growing-app-class scale, enterprise expansion), not for precise figures. The risk ordering across quadrants (penetration lowest, diversification highest) follows Ansoff, H.I. (1957), \"Strategies for Diversification,\" Harvard Business Review 35(5); the specific 1×/2×/4× multipliers are the skill's own directional gradient (see SKILL.md), not a figure from Ansoff's paper.*\n\nFile v1.0.6:examples/amazon-sequenced-growth-1994-2006.md\n\n# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n\nFile v1.0.6:examples/disney-diversification-sequence-1928-1955.md\n\n# Method in Action: Disney's Diversification Sequence (1928–1955)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nThe Walt Disney Studio's evolution from a small animation shop to a diversified entertainment company is one of the best-documented pre-digital executions of the Ansoff sequence — penetration first, one-axis moves next, genuine diversification last, and only once a named transferable capability existed. The full arc is documented in Neal Gabler's biography *Walt Disney* (2006), written with access to the Disney archives.\n\n**Step 1 — Baseline (1928):** Product = short animated cartoons; Market = American theater audiences reached through film distributors. *Steamboat Willie* (1928) established Mickey Mouse and synchronized-sound animation as the studio's core offering.\n\n**Step 2 — Penetration phase (1928–mid-1930s):** Disney grew by deepening its existing product-market position: more Mickey Mouse shorts, the Silly Symphonies series, and relentless investment in craft quality (color, character animation, story structure) that widened distribution and won a string of Academy Awards. Same product category, same theatrical market — zero new unknowns, compounding advantage.\n\n**Step 3 — Product Development move (1934–1937):** *Snow White and the Seven Dwarfs* took the existing theatrical audience a genuinely new product: the feature-length animated film. Industry observers famously dismissed the project as \"Disney's Folly\" — a correct reading of the quadrant's risk (one unknown: could animation sustain a feature?) and an incorrect reading of the payoff. Its success created an entirely new product line the studio then exploited for decades. Character merchandise licensing, formalized in the early 1930s, was a parallel product-development stream: new goods sold to the fans of existing characters.\n\n**Step 4 — Market Development move (1950–1954):** Disney carried its existing products and characters into a new market: the home television audience. The *Disneyland* anthology series on ABC (premiering 1954) repackaged studio content for viewers the theatrical channel did not reach — existing product, new market and distribution channel. Critically, the ABC deal also supplied financing and weekly on-air promotion for the diversification move to come.\n\n**Step 5 — Diversification (1955):** Disneyland park was genuine diversification: a physical, operated, themed outdoor-entertainment product in a business (real estate, construction, park operations) the studio had never run. Gabler documents how skeptical financiers and even Walt's brother Roy viewed the project — an accurate perception of two simultaneous unknowns. It worked because the transferable capability was specific and named: story-driven design and a library of characters audiences already loved, applied to physical space.\n\n**Step 6 — Sequence lesson:** Disney did not attempt the park in 1930. Each quadrant was entered only after the prior one produced a defensible position — and each earlier quadrant actively de-risked the next: penetration built the character library, product development proved the studio could carry bigger bets, and the television move financed and marketed the diversification. The 4× risk of Disneyland was paid down in advance by twenty-five years of sequenced expansion.\n\nThe mapped steps:\n1. Baseline: short animated cartoons for US theatrical audiences (1928)\n2. Penetration: more shorts, higher craft quality, deeper distribution — same product, same market\n3. Product Development: feature-length animation (*Snow White*, 1937) plus character merchandise — new products, existing audience\n4. Market Development: the *Disneyland* TV series on ABC (1954) — existing characters and content, new home-audience market\n5. Diversification: Disneyland park (1955) — new product, new operating business, justified by a specific transferable capability (story-driven design + character IP)\n6. Entry logic: each quadrant was entered only after the previous position was defensible, and earlier moves financed and de-risked later ones\n\nPrimary source: Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf.\n\nFile v1.0.6:skill-card.md\n\n## Description:\n\nGuides agents through an Ansoff Matrix growth strategy analysis to map product-market options, score risk and feasibility, and prioritize a focused growth agenda.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[deciqai](https://clawhub.ai/user/deciqai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, employees, and strategy teams use this skill when deciding where a business should grow next, whether to enter a new market, or how to choose between market penetration, market development, product development, and diversification.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Examples and cited growth claims may not reflect current market conditions.\n\nMitigation: Use the examples as strategic guidance and verify current market facts before making business decisions.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/deciqai/skills/ansoff-matrix)\n- [Primary Sources for ansoff-matrix](references/sources.md)\n- [Ansoff, H.I. (1957), Strategies for Diversification](https://hbr.org/1957/09/strategies-for-diversification)\n- [Hopkins, H.D. (1987), Acquisition Strategy and the Market Position of Acquiring Firms](https://doi.org/10.1002/smj.4250080604)\n- [Amazon Annual Reports and Shareholder Letters](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx)\n- [OpenAI Product Announcements](https://openai.com/news/)\n- [Reuters Technology Reporting](https://www.reuters.com/technology/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown growth direction analysis with a completed matrix, feasibility scores, prioritized direction, entry criteria, and 90-day agenda.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May ask clarifying questions in coach mode before producing the final analysis.]\n\n## Skill Version(s):\n\n1.0.6 (source: ClawHub release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.5: 7 files, 14694 bytes\n\nFiles: examples/ai-startup-growth-options-2024-2026.md (7395b), examples/amazon-sequenced-growth-1994-2006.md (2807b), examples/disney-diversification-sequence-1928-1955.md (4224b), references/sources.md (2112b), skill-card.md (2481b), SKILL.md (10060b), _meta.json (132b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead).\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: `swot-analysis` (assess strengths per quadrant first); `bcg-matrix` (which BU needs growth, then Ansoff picks direction); `porters-five-forces` (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n- An **AI-native company** is weighing deeper penetration vs. new segments vs. shipping autonomous agents vs. diversifying — under rising AI capex, fast AI adoption, and AI-native competition\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md) · [Disney's Diversification Sequence (1928–1955)](examples/disney-diversification-sequence-1928-1955.md)*\n*→ 2026 lens: [An AI Startup's Growth Options (2024–2026)](examples/ai-startup-growth-options-2024-2026.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Product Development as equivalent risk | Both add one unknown, but mitigation differs: new market = distribution/localization/regulatory; new product = R&D/PMF. |\n| [D] Launching diversification at startup scale | Diversification requires surplus cash, management bandwidth, and a defensible core. Rarely appropriate below $10M ARR. |\n| [D] Confusing \"market growth rate\" with \"our ability to compete in it\" | A fast-growing market says nothing about your competitive position within it. |\n| [D] Assuming risk multipliers are precise | The 1×/2×/4× gradient is directional, not a precise calculator. |\n| [D] Ignoring the sequence principle under competitive pressure | \"Competitor X is already there\" is not sufficient to skip current-quadrant penetration. Expanding surface area before the core is defensible increases vulnerability. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- All four quadrants in current-year plan with similar resource commitments\n- \"Existing market\" defined so broadly that nearly any move counts as penetration\n- Market Development proposed for markets with zero validated demand signal\n- Entry criterion is \"when we feel ready\" rather than a named metric and threshold\n- Product Development items serve a different buyer persona with no analysis of the sales motion change required\n- Diversification justified primarily by \"we have cash\" rather than a named transferable capability\n\n## Verification\n\n- [ ] Existing product and market defined precisely, with stated penetration rate\n- [ ] Each growth option correctly classified to a quadrant\n- [ ] Feasibility scored on at least 3 dimensions per option\n- [ ] Primary quadrant selected (one); secondary optional (one); all others explicitly deprioritized\n- [ ] Entry criteria for next quadrant = named metrics with thresholds\n- [ ] 90-day milestone defined with stated accelerate/stop metric\n- [ ] Diversification options carry an identified specific transferable capability\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 189 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/ansoff-matrix** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.5:_meta.json\n\n{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.5\",\n \"publishedAt\": 1783595715720\n}\n\nFile v1.0.5:references/sources.md\n\n# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf. Primary source for the Disney worked example; written with access to the Disney archives.\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n- OpenAI (2022–2025). Product announcements and news: \"Introducing ChatGPT\" (Nov 30, 2022) and \"Introducing ChatGPT Enterprise\" (Aug 28, 2023). Primary source for the 2024–2026 AI-startup worked example's product-and-market moves. https://openai.com/news/\n- Reuters / Associated Press (2023–2025). Reporting on ChatGPT weekly-active-user milestones and enterprise adoption. Used only for durable, widely-reported facts (fastest-growing-app-class scale and enterprise expansion), not for precise figures. https://www.reuters.com/technology/\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here.\n\nFile v1.0.5:examples/ai-startup-growth-options-2024-2026.md\n\n# Method in Action: An AI Startup's Growth Options (2024–2026)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nBy 2024–2026, the fastest-growing category of software company was the AI-native startup that had reached early product-market fit with a chat or copilot product and then faced the classic Ansoff question: where to grow next, when capital was abundant but compute costs and AI-native competition were both rising fast. This example uses OpenAI's ChatGPT-era arc as the anchor because its major moves in this window were widely reported and publicly announced — but the same mapping applies to any AI startup deciding between deepening current usage, opening new segments, shipping autonomous agents, or diversifying. Where a specific figure is not durably documented, it is stated in qualified terms.\n\n**Step 1 — Define Current Product-Market Baseline.** Product = a conversational AI assistant (ChatGPT, launched late 2022) plus a developer API. Market = individual consumers using the free/paid assistant, and developers building on the API. Penetration was already large but far from saturated: ChatGPT was reported to be among the fastest products ever to reach hundreds of millions of weekly users, yet paid conversion and enterprise coverage remained early. Baseline penetration is therefore \"high awareness, low monetized depth.\"\n\n**Step 2 — Enumerate Growth Options by Quadrant.** Concrete options, not slogans:\n\n- *Penetration (existing product, existing users):* convert more free consumers to ChatGPT Plus; increase usage frequency and retention; upsell existing API developers to higher tiers.\n- *Market Development (existing product, new market):* ChatGPT Enterprise/Team for large organizations with admin controls and data-privacy guarantees; education and government segments; new geographies and languages.\n- *Product Development (new product, existing users):* new model families and modalities (voice, vision, image generation), and — the defining 2024–2026 move — **autonomous agents** that take multi-step actions on the user's behalf rather than only answering.\n- *Diversification (new product, new market):* consumer hardware devices, or moving into a wholly different operating business (e.g., owning foundational compute/chip supply, or a new vertical unrelated to the assistant's users).\n\n**Step 3 — Score Feasibility and Risk.** Applying the quadrant risk multipliers (penetration 1×, one-axis 2×, diversification 4×):\n\n- *Penetration (1×):* highest capability match, lowest unknowns. Consumer-to-paid conversion and developer upsell need no new buyer to be discovered. Regress-test (\"if this were the only thing we did this year, could we win?\") passes cleanly.\n- *Market Development — Enterprise (2×):* one unknown — a materially different buyer (procurement, security review, admin, compliance) with a different sales motion than self-serve consumers. Large opportunity, strong product fit, but requires a real go-to-market build.\n- *Product Development — Agents (2×):* one unknown — can the new product reliably do a genuinely new job (autonomous multi-step action) for the *same* users? High opportunity, high competitive intensity (most major labs and many AI-native startups shipped agent products in this window), and real reliability/safety risk.\n- *Diversification — Hardware or new operating business (4×):* two unknowns at once — new product *and* new buyer/operating discipline. Capex-heavy, outside the core software capability, and rightly the lowest-priority bet for most AI startups regardless of cash on hand.\n\n**Step 4 — Select Primary Direction.** Primary = **Penetration + Market Development (Enterprise)** run together: deepen monetized usage of the existing assistant while opening the enterprise segment with the same core product. Secondary (≤20% of growth resources) = **Product Development (agents)**, because agents extend the existing product to existing users and were becoming competitively necessary — but they are resourced as the second bet, not the first. Diversification into hardware or a new operating business is explicitly deprioritized: it carries the 4× multiplier and is justified by \"we have cash / capital is available,\" which the skill flags as a red-flag rationalization, not a named transferable capability.\n\n**Step 5 — Set Entry Criteria for Next Quadrant.** Before shifting major resources from the core assistant toward agents as a *primary* bet, name a metric and threshold — e.g., \"agent task-completion reliability reaches an internally agreed success rate on a benchmark suite, and paid enterprise seat retention holds above target.\" Absent such a gate, \"we feel ready\" is not a criterion — the skill treats that as a red flag.\n\n**Step 6 — Plan 90-Day Agenda.** For the primary Penetration + Enterprise bet: a measurable milestone (e.g., named growth in paid seats and enterprise logos), a stated resource commitment (a dedicated enterprise GTM team distinct from consumer growth), and a single accelerate/stop metric (paid net retention). If retention holds, accelerate the agent bet; if the core leaks, fix penetration before widening surface area.\n\n**Sequence lesson.** The AI-native temptation in 2024–2026 was to pursue all four quadrants at once because capital and hype were abundant and AI compressed execution time. Ansoff's discipline still holds: AI shortens *time-to-ship* for Market and Product Development, but it does not remove the *unknowns* those quadrants add — a new enterprise buyer still behaves differently, and an autonomous agent still has to prove a new job-to-be-done. The strongest players sequenced: they deepened the core assistant and opened enterprise (the cheapest unknowns) before treating agents as a primary bet, and they treated true diversification (hardware, owned compute, unrelated verticals) as a last move requiring a specific transferable capability — never as a default justified by cash.\n\nThe mapped steps:\n1. Baseline: conversational AI assistant + developer API, for consumers and developers (2022–2024)\n2. Penetration: free-to-paid conversion, usage depth, developer upsell — same product, same users (1×)\n3. Market Development: enterprise/team/education/government segments and new geographies — same product, new buyer (2×)\n4. Product Development: new modalities and autonomous agents — new product, existing users (2×)\n5. Diversification: consumer hardware or a new operating business — new product, new market (4×), deprioritized absent a named transferable capability\n6. Entry logic: gate the agent bet behind a named reliability + retention threshold; keep diversification last\n\n*Sources: OpenAI. \"Introducing ChatGPT\" (Nov 30, 2022), \"Introducing ChatGPT Enterprise\" (Aug 28, 2023), and product announcements at https://openai.com/news/ . Reuters and Associated Press reporting on ChatGPT weekly-active-user milestones, 2023–2025, used only for durable, widely-reported facts (fastest-growing-app-class scale, enterprise expansion), not for precise figures. The risk ordering across quadrants (penetration lowest, diversification highest) follows Ansoff, H.I. (1957), \"Strategies for Diversification,\" Harvard Business Review 35(5); the specific 1×/2×/4× multipliers are the skill's own directional gradient (see SKILL.md), not a figure from Ansoff's paper.*\n\nFile v1.0.5:examples/amazon-sequenced-growth-1994-2006.md\n\n# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n\nFile v1.0.5:examples/disney-diversification-sequence-1928-1955.md\n\n# Method in Action: Disney's Diversification Sequence (1928–1955)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nThe Walt Disney Studio's evolution from a small animation shop to a diversified entertainment company is one of the best-documented pre-digital executions of the Ansoff sequence — penetration first, one-axis moves next, genuine diversification last, and only once a named transferable capability existed. The full arc is documented in Neal Gabler's biography *Walt Disney* (2006), written with access to the Disney archives.\n\n**Step 1 — Baseline (1928):** Product = short animated cartoons; Market = American theater audiences reached through film distributors. *Steamboat Willie* (1928) established Mickey Mouse and synchronized-sound animation as the studio's core offering.\n\n**Step 2 — Penetration phase (1928–mid-1930s):** Disney grew by deepening its existing product-market position: more Mickey Mouse shorts, the Silly Symphonies series, and relentless investment in craft quality (color, character animation, story structure) that widened distribution and won a string of Academy Awards. Same product category, same theatrical market — zero new unknowns, compounding advantage.\n\n**Step 3 — Product Development move (1934–1937):** *Snow White and the Seven Dwarfs* took the existing theatrical audience a genuinely new product: the feature-length animated film. Industry observers famously dismissed the project as \"Disney's Folly\" — a correct reading of the quadrant's risk (one unknown: could animation sustain a feature?) and an incorrect reading of the payoff. Its success created an entirely new product line the studio then exploited for decades. Character merchandise licensing, formalized in the early 1930s, was a parallel product-development stream: new goods sold to the fans of existing characters.\n\n**Step 4 — Market Development move (1950–1954):** Disney carried its existing products and characters into a new market: the home television audience. The *Disneyland* anthology series on ABC (premiering 1954) repackaged studio content for viewers the theatrical channel did not reach — existing product, new market and distribution channel. Critically, the ABC deal also supplied financing and weekly on-air promotion for the diversification move to come.\n\n**Step 5 — Diversification (1955):** Disneyland park was genuine diversification: a physical, operated, themed outdoor-entertainment product in a business (real estate, construction, park operations) the studio had never run. Gabler documents how skeptical financiers and even Walt's brother Roy viewed the project — an accurate perception of two simultaneous unknowns. It worked because the transferable capability was specific and named: story-driven design and a library of characters audiences already loved, applied to physical space.\n\n**Step 6 — Sequence lesson:** Disney did not attempt the park in 1930. Each quadrant was entered only after the prior one produced a defensible position — and each earlier quadrant actively de-risked the next: penetration built the character library, product development proved the studio could carry bigger bets, and the television move financed and marketed the diversification. The 4× risk of Disneyland was paid down in advance by twenty-five years of sequenced expansion.\n\nThe mapped steps:\n1. Baseline: short animated cartoons for US theatrical audiences (1928)\n2. Penetration: more shorts, higher craft quality, deeper distribution — same product, same market\n3. Product Development: feature-length animation (*Snow White*, 1937) plus character merchandise — new products, existing audience\n4. Market Development: the *Disneyland* TV series on ABC (1954) — existing characters and content, new home-audience market\n5. Diversification: Disneyland park (1955) — new product, new operating business, justified by a specific transferable capability (story-driven design + character IP)\n6. Entry logic: each quadrant was entered only after the previous position was defensible, and earlier moves financed and de-risked later ones\n\nPrimary source: Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf.\n\nFile v1.0.5:skill-card.md\n\n## Description:
\nHelps an agent coach users through the Ansoff Matrix to prioritize growth options across existing or new products and markets.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[deciqai](https://clawhub.ai/user/deciqai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nBusiness leaders, strategy teams, founders, product teams, and their agents use this skill to classify growth options, compare quadrant risk, choose a primary growth direction, and define a 90-day agenda with entry criteria.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Users may paste confidential growth plans, market data, or strategic assumptions into the agent session while using the coaching flow.
\nMitigation: Use sanitized or non-sensitive inputs unless the session is approved for confidential business information.
\nRisk: The framework can oversimplify growth choices or misclassify options when current product, market, and penetration assumptions are vague.
\nMitigation: Validate classifications, scores, entry criteria, and the 90-day agenda against current market evidence and stakeholder review before acting.
\n\n\n## Reference(s):
\n- [Sources - ansoff-matrix](references/sources.md)
\n- [Ansoff, H.I. (1957), Strategies for Diversification](https://hbr.org/1957/09/strategies-for-diversification)
\n- [Amazon Annual Reports and Shareholder Letters](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx)
\n- [Hopkins (1987), Acquisition Strategy and the Market Position of Acquiring Firms](https://doi.org/10.1002/smj.4250080604)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, guidance]
\n**Output Format:** [Markdown strategy analysis with a completed growth-direction matrix, scored options, prioritization, entry criteria, and a 90-day agenda.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May include step-by-step coaching questions when the user is unfamiliar with the framework.]
\n\n## Skill Version(s):
\n1.0.5 (source: server evidence release.version)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.4: 6 files, 10913 bytes\n\nFiles: examples/amazon-sequenced-growth-1994-2006.md (2807b), examples/disney-diversification-sequence-1928-1955.md (4224b), references/sources.md (1566b), skill-card.md (2651b), SKILL.md (9753b), _meta.json (132b)\n\nFile v1.0.4:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead).\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: `swot-analysis` (assess strengths per quadrant first); `bcg-matrix` (which BU needs growth, then Ansoff picks direction); `porters-five-forces` (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md) · [Disney's Diversification Sequence (1928–1955)](examples/disney-diversification-sequence-1928-1955.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Product Development as equivalent risk | Both add one unknown, but mitigation differs: new market = distribution/localization/regulatory; new product = R&D/PMF. |\n| [D] Launching diversification at startup scale | Diversification requires surplus cash, management bandwidth, and a defensible core. Rarely appropriate below $10M ARR. |\n| [D] Confusing \"market growth rate\" with \"our ability to compete in it\" | A fast-growing market says nothing about your competitive position within it. |\n| [D] Assuming risk multipliers are precise | The 1×/2×/4× gradient is directional, not a precise calculator. |\n| [D] Ignoring the sequence principle under competitive pressure | \"Competitor X is already there\" is not sufficient to skip current-quadrant penetration. Expanding surface area before the core is defensible increases vulnerability. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- All four quadrants in current-year plan with similar resource commitments\n- \"Existing market\" defined so broadly that nearly any move counts as penetration\n- Market Development proposed for markets with zero validated demand signal\n- Entry criterion is \"when we feel ready\" rather than a named metric and threshold\n- Product Development items serve a different buyer persona with no analysis of the sales motion change required\n- Diversification justified primarily by \"we have cash\" rather than a named transferable capability\n\n## Verification\n\n- [ ] Existing product and market defined precisely, with stated penetration rate\n- [ ] Each growth option correctly classified to a quadrant\n- [ ] Feasibility scored on at least 3 dimensions per option\n- [ ] Primary quadrant selected (one); secondary optional (one); all others explicitly deprioritized\n- [ ] Entry criteria for next quadrant = named metrics with thresholds\n- [ ] 90-day milestone defined with stated accelerate/stop metric\n- [ ] Diversification options carry an identified specific transferable capability\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 164 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/ansoff-matrix** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.4:_meta.json\n\n{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.4\",\n \"publishedAt\": 1783508009116\n}\n\nFile v1.0.4:references/sources.md\n\n# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf. Primary source for the Disney worked example; written with access to the Disney archives.\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here.\n\nFile v1.0.4:examples/amazon-sequenced-growth-1994-2006.md\n\n# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n\nFile v1.0.4:examples/disney-diversification-sequence-1928-1955.md\n\n# Method in Action: Disney's Diversification Sequence (1928–1955)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nThe Walt Disney Studio's evolution from a small animation shop to a diversified entertainment company is one of the best-documented pre-digital executions of the Ansoff sequence — penetration first, one-axis moves next, genuine diversification last, and only once a named transferable capability existed. The full arc is documented in Neal Gabler's biography *Walt Disney* (2006), written with access to the Disney archives.\n\n**Step 1 — Baseline (1928):** Product = short animated cartoons; Market = American theater audiences reached through film distributors. *Steamboat Willie* (1928) established Mickey Mouse and synchronized-sound animation as the studio's core offering.\n\n**Step 2 — Penetration phase (1928–mid-1930s):** Disney grew by deepening its existing product-market position: more Mickey Mouse shorts, the Silly Symphonies series, and relentless investment in craft quality (color, character animation, story structure) that widened distribution and won a string of Academy Awards. Same product category, same theatrical market — zero new unknowns, compounding advantage.\n\n**Step 3 — Product Development move (1934–1937):** *Snow White and the Seven Dwarfs* took the existing theatrical audience a genuinely new product: the feature-length animated film. Industry observers famously dismissed the project as \"Disney's Folly\" — a correct reading of the quadrant's risk (one unknown: could animation sustain a feature?) and an incorrect reading of the payoff. Its success created an entirely new product line the studio then exploited for decades. Character merchandise licensing, formalized in the early 1930s, was a parallel product-development stream: new goods sold to the fans of existing characters.\n\n**Step 4 — Market Development move (1950–1954):** Disney carried its existing products and characters into a new market: the home television audience. The *Disneyland* anthology series on ABC (premiering 1954) repackaged studio content for viewers the theatrical channel did not reach — existing product, new market and distribution channel. Critically, the ABC deal also supplied financing and weekly on-air promotion for the diversification move to come.\n\n**Step 5 — Diversification (1955):** Disneyland park was genuine diversification: a physical, operated, themed outdoor-entertainment product in a business (real estate, construction, park operations) the studio had never run. Gabler documents how skeptical financiers and even Walt's brother Roy viewed the project — an accurate perception of two simultaneous unknowns. It worked because the transferable capability was specific and named: story-driven design and a library of characters audiences already loved, applied to physical space.\n\n**Step 6 — Sequence lesson:** Disney did not attempt the park in 1930. Each quadrant was entered only after the prior one produced a defensible position — and each earlier quadrant actively de-risked the next: penetration built the character library, product development proved the studio could carry bigger bets, and the television move financed and marketed the diversification. The 4× risk of Disneyland was paid down in advance by twenty-five years of sequenced expansion.\n\nThe mapped steps:\n1. Baseline: short animated cartoons for US theatrical audiences (1928)\n2. Penetration: more shorts, higher craft quality, deeper distribution — same product, same market\n3. Product Development: feature-length animation (*Snow White*, 1937) plus character merchandise — new products, existing audience\n4. Market Development: the *Disneyland* TV series on ABC (1954) — existing characters and content, new home-audience market\n5. Diversification: Disneyland park (1955) — new product, new operating business, justified by a specific transferable capability (story-driven design + character IP)\n6. Entry logic: each quadrant was entered only after the previous position was defensible, and earlier moves financed and de-risked later ones\n\nPrimary source: Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf.\n\nFile v1.0.4:skill-card.md\n\n## Description:
\nHelps agents guide growth strategy decisions with the Ansoff product-market matrix, mapping options by product and market novelty to prioritize a primary growth direction.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[deciqai](https://clawhub.ai/user/deciqai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users, founders, product leaders, and strategy teams use this skill to compare growth options, classify them into Ansoff quadrants, score feasibility and risk, and commit to a prioritized 90-day growth agenda.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Strategic recommendations may be incomplete or misleading if the user provides weak market, customer, or capability data.
\nMitigation: Treat outputs as decision support, validate assumptions with current business evidence, and have a responsible human review the growth agenda before acting.
\nRisk: The matrix can overstate confidence in diversification or new-market moves when evidence is qualitative.
\nMitigation: Use the skill's entry criteria, scoring, and red-flag checks to require named metrics and thresholds before shifting resources.
\n\n\n## Reference(s):
\n- [Sources - ansoff-matrix](references/sources.md)
\n- [Amazon's Sequenced Growth (1994-2006)](examples/amazon-sequenced-growth-1994-2006.md)
\n- [Disney's Diversification Sequence (1928-1955)](examples/disney-diversification-sequence-1928-1955.md)
\n- [Ansoff (1957), Strategies for Diversification](https://hbr.org/1957/09/strategies-for-diversification)
\n- [Amazon Annual Reports and Shareholder Letters](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx)
\n- [Hopkins (1987), Acquisition Strategy and Market Position](https://doi.org/10.1002/smj.4250080604)
\n\n\n## Skill Output:
\n**Output Type(s):** [Analysis, Markdown, Guidance]
\n**Output Format:** [Markdown growth direction analysis with a quadrant matrix, scores, prioritization, entry criteria, and a 90-day agenda]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May operate step by step in coach mode and stop for user input before continuing.]
\n\n## Skill Version(s):
\n1.0.4 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.3: 6 files, 11053 bytes\n\nFiles: examples/amazon-sequenced-growth-1994-2006.md (2807b), examples/disney-diversification-sequence-1928-1955.md (4224b), references/sources.md (1566b), skill-card.md (2929b), SKILL.md (9856b), _meta.json (132b)\n\nFile v1.0.3:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead).\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: `swot-analysis` (assess strengths per quadrant first); `bcg-matrix` (which BU needs growth, then Ansoff picks direction); `porters-five-forces` (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md) · [Disney's Diversification Sequence (1928–1955)](examples/disney-diversification-sequence-1928-1955.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Product Development as equivalent risk | Both add one unknown, but mitigation differs: new market = distribution/localization/regulatory; new product = R&D/PMF. |\n| [D] Launching diversification at startup scale | Diversification requires surplus cash, management bandwidth, and a defensible core. Rarely appropriate below $10M ARR. |\n| [D] Confusing \"market growth rate\" with \"our ability to compete in it\" | A fast-growing market says nothing about your competitive position within it. |\n| [D] Assuming risk multipliers are precise | The 1×/2×/4× gradient is directional, not a precise calculator. |\n| [D] Ignoring the sequence principle under competitive pressure | \"Competitor X is already there\" is not sufficient to skip current-quadrant penetration. Expanding surface area before the core is defensible increases vulnerability. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- All four quadrants in current-year plan with similar resource commitments\n- \"Existing market\" defined so broadly that nearly any move counts as penetration\n- Market Development proposed for markets with zero validated demand signal\n- Entry criterion is \"when we feel ready\" rather than a named metric and threshold\n- Product Development items serve a different buyer persona with no analysis of the sales motion change required\n- Diversification justified primarily by \"we have cash\" rather than a named transferable capability\n\n## Verification\n\n- [ ] Existing product and market defined precisely, with stated penetration rate\n- [ ] Each growth option correctly classified to a quadrant\n- [ ] Feasibility scored on at least 3 dimensions per option\n- [ ] Primary quadrant selected (one); secondary optional (one); all others explicitly deprioritized\n- [ ] Entry criteria for next quadrant = named metrics with thresholds\n- [ ] 90-day milestone defined with stated accelerate/stop metric\n- [ ] Diversification options carry an identified specific transferable capability\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 163 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/skills/ansoff-matrix?utm_source=clawhub&utm_medium=marketplace&utm_campaign=knowledge-skills&utm_content=ansoff-matrix** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.3:_meta.json\n\n{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.3\",\n \"publishedAt\": 1783482628966\n}\n\nFile v1.0.3:references/sources.md\n\n# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf. Primary source for the Disney worked example; written with access to the Disney archives.\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here.\n\nFile v1.0.3:examples/amazon-sequenced-growth-1994-2006.md\n\n# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n\nFile v1.0.3:examples/disney-diversification-sequence-1928-1955.md\n\n# Method in Action: Disney's Diversification Sequence (1928–1955)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nThe Walt Disney Studio's evolution from a small animation shop to a diversified entertainment company is one of the best-documented pre-digital executions of the Ansoff sequence — penetration first, one-axis moves next, genuine diversification last, and only once a named transferable capability existed. The full arc is documented in Neal Gabler's biography *Walt Disney* (2006), written with access to the Disney archives.\n\n**Step 1 — Baseline (1928):** Product = short animated cartoons; Market = American theater audiences reached through film distributors. *Steamboat Willie* (1928) established Mickey Mouse and synchronized-sound animation as the studio's core offering.\n\n**Step 2 — Penetration phase (1928–mid-1930s):** Disney grew by deepening its existing product-market position: more Mickey Mouse shorts, the Silly Symphonies series, and relentless investment in craft quality (color, character animation, story structure) that widened distribution and won a string of Academy Awards. Same product category, same theatrical market — zero new unknowns, compounding advantage.\n\n**Step 3 — Product Development move (1934–1937):** *Snow White and the Seven Dwarfs* took the existing theatrical audience a genuinely new product: the feature-length animated film. Industry observers famously dismissed the project as \"Disney's Folly\" — a correct reading of the quadrant's risk (one unknown: could animation sustain a feature?) and an incorrect reading of the payoff. Its success created an entirely new product line the studio then exploited for decades. Character merchandise licensing, formalized in the early 1930s, was a parallel product-development stream: new goods sold to the fans of existing characters.\n\n**Step 4 — Market Development move (1950–1954):** Disney carried its existing products and characters into a new market: the home television audience. The *Disneyland* anthology series on ABC (premiering 1954) repackaged studio content for viewers the theatrical channel did not reach — existing product, new market and distribution channel. Critically, the ABC deal also supplied financing and weekly on-air promotion for the diversification move to come.\n\n**Step 5 — Diversification (1955):** Disneyland park was genuine diversification: a physical, operated, themed outdoor-entertainment product in a business (real estate, construction, park operations) the studio had never run. Gabler documents how skeptical financiers and even Walt's brother Roy viewed the project — an accurate perception of two simultaneous unknowns. It worked because the transferable capability was specific and named: story-driven design and a library of characters audiences already loved, applied to physical space.\n\n**Step 6 — Sequence lesson:** Disney did not attempt the park in 1930. Each quadrant was entered only after the prior one produced a defensible position — and each earlier quadrant actively de-risked the next: penetration built the character library, product development proved the studio could carry bigger bets, and the television move financed and marketed the diversification. The 4× risk of Disneyland was paid down in advance by twenty-five years of sequenced expansion.\n\nThe mapped steps:\n1. Baseline: short animated cartoons for US theatrical audiences (1928)\n2. Penetration: more shorts, higher craft quality, deeper distribution — same product, same market\n3. Product Development: feature-length animation (*Snow White*, 1937) plus character merchandise — new products, existing audience\n4. Market Development: the *Disneyland* TV series on ABC (1954) — existing characters and content, new home-audience market\n5. Diversification: Disneyland park (1955) — new product, new operating business, justified by a specific transferable capability (story-driven design + character IP)\n6. Entry logic: each quadrant was entered only after the previous position was defensible, and earlier moves financed and de-risked later ones\n\nPrimary source: Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf.\n\nFile v1.0.3:skill-card.md\n\n## Description:
\nGuides an agent through the Ansoff product-market growth matrix to classify growth options, compare feasibility and risk, and produce a prioritized growth direction analysis.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[deciqai](https://clawhub.ai/user/deciqai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nEmployees, external strategy teams, and business operators use this skill when deciding where to grow next, such as choosing between market penetration, market development, product development, and diversification. It helps an agent turn a concrete business case into a scored growth matrix, a primary direction, entry criteria, and a 90-day agenda.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: The skill produces business strategy guidance that may be wrong or misleading if the user's market data, customer definitions, or assumptions are incomplete.
\nMitigation: Verify cited sources, business assumptions, market sizing, and feasibility scores before using the output for investment, hiring, launch, or resource-allocation decisions.
\nRisk: User prompts may include confidential product, customer, or growth-plan details.
\nMitigation: Avoid sharing confidential business information with the agent unless the deployment environment and data handling practices are approved for that information.
\n\n\n## Reference(s):
\n- [Sources - ansoff-matrix](references/sources.md)
\n- [Amazon's Sequenced Growth (1994-2006)](examples/amazon-sequenced-growth-1994-2006.md)
\n- [Disney's Diversification Sequence (1928-1955)](examples/disney-diversification-sequence-1928-1955.md)
\n- [Ansoff, H.I. (1957), Strategies for Diversification](https://hbr.org/1957/09/strategies-for-diversification)
\n- [Amazon annual reports and shareholder letters](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx)
\n- [Hopkins (1987), Acquisition Strategy and the Market Position of Acquiring Firms](https://doi.org/10.1002/smj.4250080604)
\n- [ClawHub skill page](https://clawhub.ai/deciqai/skills/ansoff-matrix)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, guidance]
\n**Output Format:** [Markdown growth direction analysis with scored options, prioritization, entry criteria, and a 90-day agenda]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May ask step-by-step clarification questions before producing the analysis.]
\n\n## Skill Version(s):
\n1.0.3 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.2: 5 files, 8658 bytes\n\nFiles: examples/amazon-sequenced-growth-1994-2006.md (2807b), references/sources.md (1382b), skill-card.md (2612b), SKILL.md (9748b), _meta.json (132b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead).\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: `swot-analysis` (assess strengths per quadrant first); `bcg-matrix` (which BU needs growth, then Ansoff picks direction); `porters-five-forces` (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Product Development as equivalent risk | Both add one unknown, but mitigation differs: new market = distribution/localization/regulatory; new product = R&D/PMF. |\n| [D] Launching diversification at startup scale | Diversification requires surplus cash, management bandwidth, and a defensible core. Rarely appropriate below $10M ARR. |\n| [D] Confusing \"market growth rate\" with \"our ability to compete in it\" | A fast-growing market says nothing about your competitive position within it. |\n| [D] Assuming risk multipliers are precise | The 1×/2×/4× gradient is directional, not a precise calculator. |\n| [D] Ignoring the sequence principle under competitive pressure | \"Competitor X is already there\" is not sufficient to skip current-quadrant penetration. Expanding surface area before the core is defensible increases vulnerability. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- All four quadrants in current-year plan with similar resource commitments\n- \"Existing market\" defined so broadly that nearly any move counts as penetration\n- Market Development proposed for markets with zero validated demand signal\n- Entry criterion is \"when we feel ready\" rather than a named metric and threshold\n- Product Development items serve a different buyer persona with no analysis of the sales motion change required\n- Diversification justified primarily by \"we have cash\" rather than a named transferable capability\n\n## Verification\n\n- [ ] Existing product and market defined precisely, with stated penetration rate\n- [ ] Each growth option correctly classified to a quadrant\n- [ ] Feasibility scored on at least 3 dimensions per option\n- [ ] Primary quadrant selected (one); secondary optional (one); all others explicitly deprioritized\n- [ ] Entry criteria for next quadrant = named metrics with thresholds\n- [ ] 90-day milestone defined with stated accelerate/stop metric\n- [ ] Diversification options carry an identified specific transferable capability\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 163 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/skills/ansoff-matrix?utm_source=clawhub&utm_medium=marketplace&utm_campaign=knowledge-skills&utm_content=ansoff-matrix** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.2:_meta.json\n\n{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1783471074042\n}\n\nFile v1.0.2:references/sources.md\n\n# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here.\n\nFile v1.0.2:examples/amazon-sequenced-growth-1994-2006.md\n\n# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n\nFile v1.0.2:skill-card.md\n\n## Description:
\nGuides agents through the Ansoff Matrix to classify growth options by product and market novelty, score risk and feasibility, and produce a prioritized growth agenda.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[deciqai](https://clawhub.ai/user/deciqai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nEmployees, founders, product leaders, and strategy teams use this skill when deciding where to grow next, whether to enter a new market, or whether to prioritize market penetration, product development, market development, or diversification.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Users may enter confidential growth plans, market-entry details, or product strategy into the assistant environment.
\nMitigation: Share only information appropriate for that environment, anonymize sensitive strategy details, and follow internal data-handling requirements.
\nRisk: The skill can produce strategic recommendations that may be incomplete or misleading if the user's market, capability, or financial assumptions are wrong.
\nMitigation: Validate the analysis with current business data, market evidence, and human review before committing resources.
\n\n\n## Reference(s):
\n- [Sources - ansoff-matrix](references/sources.md)
\n- [Amazon's Sequenced Growth (1994-2006)](examples/amazon-sequenced-growth-1994-2006.md)
\n- [Ansoff, H.I. (1957), Strategies for Diversification](https://hbr.org/1957/09/strategies-for-diversification)
\n- [Amazon Annual Reports, Proxies and Shareholder Letters](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx)
\n- [Hopkins (1987), Acquisition Strategy and the Market Position of Acquiring Firms](https://doi.org/10.1002/smj.4250080604)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, Markdown, Guidance]
\n**Output Format:** [Markdown growth direction analysis with a completed matrix, scores, prioritization, entry criteria, and a 90-day agenda]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [No shell commands, credentials, persistence, or external tool access are required.]
\n\n## Skill Version(s):
\n1.0.2 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.1: 5 files, 8447 bytes\n\nFiles: examples/amazon-sequenced-growth-1994-2006.md (2807b), references/sources.md (1382b), skill-card.md (2334b), SKILL.md (9584b), _meta.json (132b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead).\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: [`swot-analysis`](../swot-analysis/SKILL.md) (assess strengths per quadrant first); [`bcg-matrix`](../bcg-matrix/SKILL.md) (which BU needs growth, then Ansoff picks direction); [`porters-five-forces`](../porters-five-forces/SKILL.md) (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Product Development as equivalent risk | Both add one unknown, but mitigation differs: new market = distribution/localization/regulatory; new product = R&D/PMF. |\n| [D] Launching diversification at startup scale | Diversification requires surplus cash, management bandwidth, and a defensible core. Rarely appropriate below $10M ARR. |\n| [D] Confusing \"market growth rate\" with \"our ability to compete in it\" | A fast-growing market says nothing about your competitive position within it. |\n| [D] Assuming risk multipliers are precise | The 1×/2×/4× gradient is directional, not a precise calculator. |\n| [D] Ignoring the sequence principle under competitive pressure | \"Competitor X is already there\" is not sufficient to skip current-quadrant penetration. Expanding surface area before the core is defensible increases vulnerability. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- All four quadrants in current-year plan with similar resource commitments\n- \"Existing market\" defined so broadly that nearly any move counts as penetration\n- Market Development proposed for markets with zero validated demand signal\n- Entry criterion is \"when we feel ready\" rather than a named metric and threshold\n- Product Development items serve a different buyer persona with no analysis of the sales motion change required\n- Diversification justified primarily by \"we have cash\" rather than a named transferable capability\n\n## Verification\n\n- [ ] Existing product and market defined precisely, with stated penetration rate\n- [ ] Each growth option correctly classified to a quadrant\n- [ ] Feasibility scored on at least 3 dimensions per option\n- [ ] Primary quadrant selected (one); secondary optional (one); all others explicitly deprioritized\n- [ ] Entry criteria for next quadrant = named metrics with thresholds\n- [ ] 90-day milestone defined with stated accelerate/stop metric\n- [ ] Diversification options carry an identified specific transferable capability\n\n---\n\n*Part of **deciqAI Knowledge Skills** — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.*\n\nFile v1.0.1:_meta.json\n\n{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.1\",\n \"publishedAt\": 1783456142848\n}\n\nFile v1.0.1:references/sources.md\n\n# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here.\n\nFile v1.0.1:examples/amazon-sequenced-growth-1994-2006.md\n\n# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n\nFile v1.0.1:skill-card.md\n\n## Description:
\nGuides an agent through Ansoff Matrix growth strategy analysis to map product-market options, score feasibility and risk, and prioritize a focused growth agenda.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[deciqai](https://clawhub.ai/user/deciqai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nBusiness leaders, strategy teams, founders, and product teams use this skill to choose a primary growth direction across existing and new products and markets. It helps structure options, compare risk-adjusted feasibility, set entry criteria, and produce a 90-day growth agenda.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Growth recommendations may rely on incomplete or incorrect market assumptions.
\nMitigation: Treat recommendations as advisory and verify market size, penetration, capability fit, competitive intensity, and time-to-revenue assumptions before making business decisions.
\n\n\n## Reference(s):
\n- [Sources - ansoff-matrix](references/sources.md)
\n- [Amazon's Sequenced Growth (1994-2006)](examples/amazon-sequenced-growth-1994-2006.md)
\n- [Ansoff, H.I. (1957), Strategies for Diversification](https://hbr.org/1957/09/strategies-for-diversification)
\n- [Amazon Annual Reports, Proxies and Shareholder Letters](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx)
\n- [Hopkins (1987), Acquisition Strategy and the Market Position of Acquiring Firms](https://doi.org/10.1002/smj.4250080604)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, Markdown, Guidance]
\n**Output Format:** [Markdown growth direction analysis]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Produces a completed matrix with feasibility scores, risk multipliers, a primary direction, optional secondary direction, entry criteria, and a 90-day agenda.]
\n\n## Skill Version(s):
\n1.0.1 (source: evidence release.version)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.0: 5 files, 8503 bytes\n\nFiles: examples/amazon-sequenced-growth-1994-2006.md (2807b), references/sources.md (1382b), skill-card.md (2519b), SKILL.md (9584b), _meta.json (132b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead).\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: [`swot-analysis`](../swot-analysis/SKILL.md) (assess strengths per quadrant first); [`bcg-matrix`](../bcg-matrix/SKILL.md) (which BU needs growth, then Ansoff picks direction); [`porters-five-forces`](../porters-five-forces/SKILL.md) (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and what growth options are you considering?\"\n> **[WAIT — do not advance until user responds]**\n4. Run The Process one step at a time with their input.\n> **[WAIT — do not advance until user responds]**\n5. Close by naming the insight they uncovered: \"Ansoff just showed you that [option A] carries [X] unknowns vs. [option B] carrying [Y] unknowns — the resource implication is [specific insight].\"\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nProduce a **Growth Direction Analysis** — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.\n\n**Step 1: Define Current Product-Market Baseline.** State what your \"existing products\" are and who your \"existing customers\" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.\n\n**Step 2: Enumerate Growth Options by Quadrant.** At least 3 specific options per quadrant. \"Enter Asia\" is not an option; \"launch English-language SaaS in Japan targeting mid-market manufacturing firms\" is.\n\n**Step 3: Score Feasibility and Risk.** For each option score 1–5 on: market opportunity size, capability match, competitive intensity (invert), time to revenue, strategic fit. Apply quadrant risk multiplier (penetration 1×, one-axis development 2×, diversification 4×). Regress-test: \"If this were the only thing we worked on this year, could we win?\"\n\n**Step 4: Select Primary Direction.** One primary quadrant; one optional secondary (≤20% of growth resources); all others explicitly deprioritized. Default sequence: penetration → development (one axis) → diversification. Skip only on evidence of saturation (>40–50% penetration) or a time-sensitive opportunity.\n\n**Step 5: Set Entry Criteria for Next Quadrant.** Named metric + threshold before any resources may move to the next quadrant.\n\n**Step 6: Plan 90-Day Agenda.** For primary option: measurable milestone, resource commitment, single accelerate/stop metric.\n\n### Output: Growth Direction Analysis\n\n```\nCurrent baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric\n```\n\n*→ Method in Action: [Amazon's Sequenced Growth (1994–2006)](examples/amazon-sequenced-growth-1994-2006.md)*\n\n## Growth Direction Packs\n\n**SaaS / software:** Adding a major new feature for a different buyer persona is *Product Development*, not Penetration — the new buyer has different evaluation criteria and may need a different sales motion. Moving from one vertical SaaS to another with a rebuilt product is genuine Diversification even if the stack is shared.\n\n**Consumer brands:** Distribution depth (40% → 80% ACV) is frequently the highest-ROI penetration move. Validate purchase intent before committing to new-country distribution.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling a new customer subsegment in the same industry a \"new market\" | If product, sales motion, and pricing are nearly identical, it's Market Penetration. New market = materially different buyer behavior. |\n| [D] Treating product iteration as Product Development | Adding features to better serve an existing need is Penetration. Product Development requires a distinct new job-to-be-done. |\n| [D] Framing Diversification as \"low-risk because it's adjacent\" | Adjacency in technology ≠ adjacency in market behavior. You may know the tech; you don't know the new buyer. Risk multiplier remains ~4×. |\n| [D] Using the matrix as permission to pursue all four quadrants | The matrix is a prioritization forcing function. Equal resource across all four quadrants means it was used as a menu, not a decision tool. |\n| [D] Setting entry criteria without measuring current penetration | \"We've done enough in penetration\" is an assertion. State actual market share and growth rate data. |\n| [D] Treating Market Development and Prod","readmeExcerpt":"Skill: Ansoff Matrix Owner: deciqai Summary: Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth str... Tags: latest:1.0.6 Version history: v1.0.6 | 2026-07-16T17:51:37.358Z | user Description tail link + agents machine-readable metadata line (deciqai.com/s/ansoff-matrix.json) v1.0.5 | 2026-07-09T11:15:15.720Z | user","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Current baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric"},{"language":"text","snippet":"Current baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric"},{"language":"text","snippet":"Current baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric"},{"language":"text","snippet":"Current baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric"},{"language":"text","snippet":"Current baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric"},{"language":"text","snippet":"Current baseline: existing product(s) | existing market | penetration rate %\nPenetration (1×): option — score/25 | Development-Market (2×): option — score/25\nDevelopment-Product (2×): option — score/25 | Diversification (4×): option — score/25\nPrimary direction: | Secondary (≤20% resources): \nDeprioritized: \nEntry criteria for next quadrant: ≥ by \n90-day agenda: milestone | resource commitment | accelerate/stop metric"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: ansoff-matrix\ndescription: \"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once.\n Do NOT activate when: the firm has one clear unsaturated market (answer is always penetration — no matrix needed); or the question is about portfolio allocation across existing BUs (use BCG Matrix instead). More: deciqai.com/c/ansoff-matrix\"\n---\n\n# Ansoff Matrix\n\n## Overview\n\nEvery growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is **prioritization** — selecting one primary direction and committing resources there — not listing all options simultaneously.\n\nAI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.\n\nComposes with: `swot-analysis` (assess strengths per quadrant first); `bcg-matrix` (which BU needs growth, then Ansoff picks direction); `porters-five-forces` (validate target market attractiveness before committing).\n\n## When to Use\n\nApply when:\n- Leadership is debating **where to grow next** without a shared framework\n- Resources are **spread across 4+ directions** with no single bet resourced enough to win\n- The firm is considering **entering a new geography or demographic** with an existing product\n- A product team is **developing a new product** and needs strategic context\n- A startup is **past initial PMF** and planning its next phase\n- An **AI-native company** is weighing deeper penetration vs. new segments vs. shipping autonomous agents vs. diversifying — under rising AI capex, fast AI adoption, and AI-native competition\n\n**When NOT to use:** single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete case → run The Process directly.\n- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: Ansoff tells you how risky each growth direction is — based on whether you're introducing a new product, entering a new market, or both — so you can pick the right bet given your current resources.\n2. Check fit against When to Use / When NOT to use.\n3. Elicit their real case: \"What's your current product and market, and "},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n \"slug\": \"ansoff-matrix\",\n \"version\": \"1.0.6\",\n \"publishedAt\": 1784224297358\n}"},{"path":"references/sources.md","content":"# Sources — ansoff-matrix\n\n> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*\n\n- Ansoff, H.I. (1957). \"Strategies for Diversification.\" *Harvard Business Review*, 35(5), 113-124. The original paper. Verbatim quote above from p. 114. https://hbr.org/1957/09/strategies-for-diversification\n- Ansoff, H.I. (1965). *Corporate Strategy.* McGraw-Hill. The book that formalized the Product-Market Growth Matrix and named its quadrants. ISBN republished by Penguin, 1988.\n- Bezos, J.P. (1997–2006). Annual Shareholder Letters. Amazon.com. Primary source for the Amazon worked example. https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx\n- Gabler, N. (2006). *Walt Disney: The Triumph of the American Imagination.* Alfred A. Knopf. Primary source for the Disney worked example; written with access to the Disney archives.\n- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.\n- Hopkins, H.D. (1987). \"Acquisition Strategy and the Market Position of Acquiring Firms.\" *Strategic Management Journal*, 8(6), 535-547. Empirical test of Ansoff matrix predictions against acquisition outcomes. https://doi.org/10.1002/smj.4250080604\n- OpenAI (2022–2025). Product announcements and news: \"Introducing ChatGPT\" (Nov 30, 2022) and \"Introducing ChatGPT Enterprise\" (Aug 28, 2023). Primary source for the 2024–2026 AI-startup worked example's product-and-market moves. https://openai.com/news/\n- Reuters / Associated Press (2023–2025). Reporting on ChatGPT weekly-active-user milestones and enterprise adoption. Used only for durable, widely-reported facts (fastest-growing-app-class scale and enterprise expansion), not for precise figures. https://www.reuters.com/technology/\n\nNot cited and why: numerous pop-business retellings present the Ansoff matrix as a 2×2 brainstorming exercise without the risk-gradient interpretation Ansoff himself provided. The \"adjacent possible\" framing (Steven Johnson) is a cultural metaphor, not an empirical strategic tool, and is not used as evidence here."},{"path":"examples/ai-startup-growth-options-2024-2026.md","content":"# Method in Action: An AI Startup's Growth Options (2024–2026)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nBy 2024–2026, the fastest-growing category of software company was the AI-native startup that had reached early product-market fit with a chat or copilot product and then faced the classic Ansoff question: where to grow next, when capital was abundant but compute costs and AI-native competition were both rising fast. This example uses OpenAI's ChatGPT-era arc as the anchor because its major moves in this window were widely reported and publicly announced — but the same mapping applies to any AI startup deciding between deepening current usage, opening new segments, shipping autonomous agents, or diversifying. Where a specific figure is not durably documented, it is stated in qualified terms.\n\n**Step 1 — Define Current Product-Market Baseline.** Product = a conversational AI assistant (ChatGPT, launched late 2022) plus a developer API. Market = individual consumers using the free/paid assistant, and developers building on the API. Penetration was already large but far from saturated: ChatGPT was reported to be among the fastest products ever to reach hundreds of millions of weekly users, yet paid conversion and enterprise coverage remained early. Baseline penetration is therefore \"high awareness, low monetized depth.\"\n\n**Step 2 — Enumerate Growth Options by Quadrant.** Concrete options, not slogans:\n\n- *Penetration (existing product, existing users):* convert more free consumers to ChatGPT Plus; increase usage frequency and retention; upsell existing API developers to higher tiers.\n- *Market Development (existing product, new market):* ChatGPT Enterprise/Team for large organizations with admin controls and data-privacy guarantees; education and government segments; new geographies and languages.\n- *Product Development (new product, existing users):* new model families and modalities (voice, vision, image generation), and — the defining 2024–2026 move — **autonomous agents** that take multi-step actions on the user's behalf rather than only answering.\n- *Diversification (new product, new market):* consumer hardware devices, or moving into a wholly different operating business (e.g., owning foundational compute/chip supply, or a new vertical unrelated to the assistant's users).\n\n**Step 3 — Score Feasibility and Risk.** Applying the quadrant risk multipliers (penetration 1×, one-axis 2×, diversification 4×):\n\n- *Penetration (1×):* highest capability match, lowest unknowns. Consumer-to-paid conversion and developer upsell need no new buyer to be discovered. Regress-test (\"if this were the only thing we did this year, could we win?\") passes cleanly.\n- *Market Development — Enterprise (2×):* one unknown — a materially different buyer (procurement, security review, admin, compliance) with a different sales motion than self-serve consumers. Large opportunity, strong product fit, but requires a real go-to-market build.\n- *Product Develop"},{"path":"examples/amazon-sequenced-growth-1994-2006.md","content":"# Method in Action: Amazon's Sequenced Growth (1994–2006)\n\n> *Example for the [ansoff-matrix](../SKILL.md) skill.*\n\nAmazon's progression from online bookseller to diversified commerce and infrastructure platform is the most thoroughly documented Ansoff-matrix execution in the internet era. The company's annual shareholder letters (Bezos, 1997–2006) provide near-primary-source documentation of the strategic logic at each stage.\n\n**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.\n\n**Step 2 — Penetration phase (1994–1998):** Amazon's initial growth came entirely from Market Penetration — investing in price, selection breadth (from technical titles to all books), and customer experience (1-Click ordering, patented 1997) within the US market. The 1997 letter stated the priority explicitly: *\"We have a current opportunity to build on our early mover advantage.\"* By 1998, US revenue was approximately $600M.\n\n**Step 3 — Market Development move (1998–2001):** After establishing dominance in US books, Amazon moved into a second quadrant: taking the same e-commerce model to new geographies (UK and Germany in 1998, France and Japan in 2000). This is a textbook Market Development move — existing product (online retail), new market (international).\n\n**Step 4 — Product Development moves (1999–2002):** Simultaneously, Amazon expanded from books into DVDs, music, and electronics for its *existing* US customer base — Product Development. The risk was one unknown: new product categories, same customers.\n\n**Step 5 — Diversification (2006):** AWS represented genuine diversification — a new product (cloud computing) sold to a new customer segment (enterprise IT buyers), with no overlap with the consumer retail customer base. Bezos acknowledged the risk in internal memos. The move succeeded not because diversification is safe, but because Amazon had an unusual internal capability (large-scale distributed computing infrastructure built for its own operations) that was genuinely transferable.\n\n**Step 6 — Sequence lesson:** The critical insight is that Amazon did *not* pursue all four quadrants simultaneously in 1994. It waited until US book market penetration was near-maximum before adding Market Development (international). It added Product Development gradually, category by category. AWS — the Diversification move — came 12 years after founding, when the company had established dominance in multiple other quadrants and had identified a specific transferable capability.\n\nPrimary source: Bezos, J.P. Shareholder Letters, 1997–2006. Amazon annual reports. Available at: https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth str... Skill: Ansoff Matrix Owner: deciqai Summary: Activate when: user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth str... 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