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Ansoff Matrix

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... 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

OpenClaw

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Rank

Safety

Downloads

1.2k

Updated

Oct 10, 2026

Version

1.0.6

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.6release · observed Jul 16, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17a4mqcnk515kvaca5ze55d0x88pfpx:ansoff-matrix

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-deciqai-ansoff-matrix/snapshot"

Documentation

CLAWHUB

144,178 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: ansoff-matrix
description: "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.
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"
---

# Ansoff Matrix

## Overview

Every 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.

AI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.

Composes 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).

## When to Use

Apply when:
- Leadership is debating **where to grow next** without a shared framework
- Resources are **spread across 4+ directions** with no single bet resourced enough to win
- The firm is considering **entering a new geography or demographic** with an existing product
- A product team is **developing a new product** and needs strategic context
- A startup is **past initial PMF** and planning its next phase
- 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

**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.

## Coaching Novices (Adaptive Front Door)

- **Engine mode:** user has a concrete case → run The Process directly.
- **Coach mode:** user is unfamiliar or has no concrete case → guide step by step.

In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.

1. 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.
2. Check fit against When to Use / When NOT to use.
3. Elicit their real case: "What's your current product and market, and

_meta.json

{
  "ownerId": "kn754b8sk22s8c6gjxt02bftbn88q7ye",
  "slug": "ansoff-matrix",
  "version": "1.0.6",
  "publishedAt": 1784224297358
}

references/sources.md

# Sources — ansoff-matrix

> *Primary sources for the [ansoff-matrix](../SKILL.md) skill.*

- 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
- 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.
- 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
- 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.
- Ansoff, H.I. (1988). *The New Corporate Strategy.* Wiley. Updated extension of the 1965 work with additional empirical grounding.
- 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
- 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/
- 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/

Not 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.

examples/ai-startup-growth-options-2024-2026.md

# Method in Action: An AI Startup's Growth Options (2024–2026)

> *Example for the [ansoff-matrix](../SKILL.md) skill.*

By 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.

**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."

**Step 2 — Enumerate Growth Options by Quadrant.** Concrete options, not slogans:

- *Penetration (existing product, existing users):* convert more free consumers to ChatGPT Plus; increase usage frequency and retention; upsell existing API developers to higher tiers.
- *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.
- *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.
- *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).

**Step 3 — Score Feasibility and Risk.** Applying the quadrant risk multipliers (penetration 1×, one-axis 2×, diversification 4×):

- *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.
- *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.
- *Product Develop

examples/amazon-sequenced-growth-1994-2006.md

# Method in Action: Amazon's Sequenced Growth (1994–2006)

> *Example for the [ansoff-matrix](../SKILL.md) skill.*

Amazon'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.

**Step 1 — Baseline (1994):** Product = book ordering and delivery; Market = US online consumers willing to order physical goods through the web.

**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.

**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).

**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.

**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.

**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.

Primary 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

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