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Use when facing any important\n  decision, analyzing a situation, or building a decision culture. Includes\n  scoring rubrics, templates, anti-patterns, and real-world application guides.\n---\n\n# Strategic Thinking & Mental Models Engine\n\nThe comprehensive decision-making methodology for founders, operators, investors, and leaders. 50+ mental models organized by when to use them, with templates and scoring systems.\n\n---\n\n## Quick Start — /decide\n\nWhen the user says \"help me decide\" or \"analyze this decision\":\n\n1. Ask: **What's the decision?** (one sentence)\n2. Ask: **What type?** (business / investment / hiring / product / personal / technical)\n3. Ask: **Reversibility?** (easy to undo / hard to undo / permanent)\n4. Ask: **Time pressure?** (minutes / days / weeks / no deadline)\n5. Select the right framework(s) from the catalog below\n6. Walk through step-by-step\n7. Score using the Decision Quality Rubric (Phase 10)\n8. Output a Decision Record (Phase 11)\n\n---\n\n## /8 — Quick Decision Health Check\n\nScore the current decision process (1-5 each):\n\n| Dimension | Score | Signal |\n|-----------|-------|--------|\n| Problem clarity | _ /5 | Can you state the decision in one sentence? |\n| Options explored | _ /5 | Have you considered 3+ alternatives including \"do nothing\"? |\n| Evidence quality | _ /5 | Data-backed or gut feeling? |\n| Bias awareness | _ /5 | Have you actively looked for disconfirming evidence? |\n| Reversibility mapped | _ /5 | Do you know the cost of being wrong? |\n| Stakeholders consulted | _ /5 | Has anyone challenged this? |\n| Second-order effects | _ /5 | What happens AFTER this decision plays out? |\n| Time-appropriateness | _ /5 | Are you spending the right amount of time on this? |\n\n**≥32:** Strong process — proceed with confidence\n**24-31:** Decent — address weak dimensions before committing\n**16-23:** Gaps — slow down and fill them\n**≤15:** Stop — you're about to wing a consequential decision\n\n---\n\n## Phase 1: Decision Classification\n\nNot all decisions deserve the same process. Classify first.\n\n### Type 1 vs Type 2 (Bezos Framework)\n\n| | Type 1 (One-Way Door) | Type 2 (Two-Way Door) |\n|---|---|---|\n| **Reversibility** | Irreversible or very costly to reverse | Easily reversible |\n| **Process** | Full analysis, multiple perspectives, sleep on it | Decide fast, iterate, don't overthink |\n| **Who decides** | Senior person or group | Individual closest to the information |\n| **Time budget** | Hours to weeks | Minutes to hours |\n| **Examples** | Acquisition, firing someone, pricing model, market entry | Feature priority, tool selection, meeting format, hiring channel |\n\n**The #1 mistake:** Treating Type 2 decisions like Type 1. This creates organizational paralysis. Speed on Type 2 decisions is a competitive advantage.\n\n### Consequence Mapping\n\nBefore choosing a framework, map consequences:\n\n```yaml\ndecision: \"[What you're deciding]\"\ntype: 1 | 2\nreversibility_cost: \"$X / Y hours / Z reputation damage\"\nupside_if_right: \"[Best realistic outcome]\"\ndownside_if_wrong: \"[Worst realistic outcome]\"\ntime_to_know: \"[When will you know if this was right?]\"\nasymmetry: \"positive | negative | symmetric\"\n# positive = upside >> downside (bet freely)\n# negative = downside >> upside (be cautious)\n# symmetric = roughly equal (use expected value)\n```\n\n---\n\n## Phase 2: First Principles Thinking\n\nBefore reaching for frameworks, strip the problem to fundamentals.\n\n### The 5 Whys (Root Cause)\n\nDon't solve symptoms. Ask \"Why?\" five times:\n\n1. **Why** are we losing customers? → They churn after month 3.\n2. **Why** month 3? → That's when the free premium features expire.\n3. **Why** do they leave when features expire? → They haven't built habits around core features.\n4. **Why** haven't they built habits? → Onboarding doesn't guide them to sticky features.\n5. **Why** doesn't onboarding cover this? → It focuses on setup, not value realization.\n\n**Root cause:** Onboarding design, not pricing or product gaps.\n\n### Inversion (Jacobi Method)\n\nInstead of \"How do I succeed?\", ask \"How would I guarantee failure?\"\n\nTemplate:\n```\nGoal: [What you want to achieve]\n\nHow to guarantee failure:\n1. [Anti-pattern 1]\n2. [Anti-pattern 2]\n3. [Anti-pattern 3]\n4. [Anti-pattern 4]\n5. [Anti-pattern 5]\n\nTherefore, avoid:\n1. [Inverted actionable rule]\n2. [Inverted actionable rule]\n3. [Inverted actionable rule]\n```\n\n### Regret Minimization (Bezos)\n\nFor life-altering Type 1 decisions:\n\n> \"Project yourself to age 80. Which choice minimizes regret?\"\n\nUse when:\n- Career changes (leave job to start company?)\n- Major financial commitments\n- Relationship decisions\n- The analytical frameworks feel inadequate because values are at stake\n\n---\n\n## Phase 3: The Core Mental Models Catalog\n\n### 3.1 — Strategy & Business\n\n#### Porter's Five Forces (Industry Attractiveness)\n\nScore each 1-5 (1 = favorable, 5 = threatening):\n\n| Force | Score | Evidence |\n|-------|-------|----------|\n| Threat of new entrants | _ /5 | Barriers to entry? Capital requirements? Network effects? |\n| Supplier power | _ /5 | Few suppliers? Switching costs? Unique inputs? |\n| Buyer power | _ /5 | Few buyers? Price sensitive? Easy to switch? |\n| Threat of substitutes | _ /5 | Alternative solutions? Different categories solving same job? |\n| Competitive rivalry | _ /5 | Many competitors? Slow growth? High fixed costs? |\n| **Industry Score** | _ /25 | ≤10 = attractive, 11-17 = moderate, ≥18 = difficult |\n\n#### Moat Assessment (Competitive Advantage)\n\nScore each dimension 0-10:\n\n| Moat Type | Score | Evidence | Durability (years) |\n|-----------|-------|----------|---------------------|\n| Network effects | _ /10 | Each user makes product more valuable for others? |  |\n| Switching costs | _ /10 | Pain of leaving? Data lock-in? Learning curve? |  |\n| Brand | _ /10 | Premium pricing power? Trust? Recognition? |  |\n| Scale economies | _ /10 | Cost advantages that grow with size? |  |\n| Proprietary tech/data | _ /10 | Patents? Unique datasets? Trade secrets? |  |\n| Regulatory | _ /10 | Licenses? Compliance barriers? Government relationships? |  |\n| Distribution | _ /10 | Exclusive channels? Embedded in workflows? |  |\n| Counter-positioning | _ /10 | Incumbent can't copy without hurting their core business? |  |\n| **Total Moat** | _ /80 | ≥50 = fortress, 30-49 = solid, 15-29 = narrow, <15 = no moat |\n\n#### OODA Loop (Speed Advantage)\n\nFor competitive situations where speed matters:\n\n1. **Observe:** What's happening? Raw data, signals, changes.\n2. **Orient:** What does it mean? Context, mental models, cultural factors.\n3. **Decide:** What will we do? Select action from options.\n4. **Act:** Execute. Then observe again.\n\n**Key insight:** The winner isn't who has the best strategy — it's who cycles through OODA faster. If you can observe and orient faster than competitors, you'll always be inside their decision loop.\n\n#### Wardley Mapping (Strategic Positioning)\n\nMap components by:\n- **Y-axis:** Visibility to user (top = visible, bottom = invisible)\n- **X-axis:** Evolution stage: Genesis → Custom → Product → Commodity\n\nRules:\n- Build what's in Genesis/Custom (your differentiation)\n- Buy what's in Product/Commodity (don't reinvent wheels)\n- Watch for components about to shift stages (opportunity/threat)\n\n### 3.2 — Investment & Financial\n\n#### Expected Value Calculation\n\nFor any bet or investment:\n\n```\nEV = (Probability of Win × Win Amount) - (Probability of Loss × Loss Amount)\n\nExample:\n- 30% chance of winning $100,000\n- 70% chance of losing $20,000\n- EV = (0.30 × $100,000) - (0.70 × $20,000) = $30,000 - $14,000 = +$16,000\n\nDecision: Positive EV → take the bet (if you can afford the loss)\n```\n\n**Kelly Criterion** (optimal bet sizing):\n```\nKelly % = (bp - q) / b\nWhere:\n  b = odds received (win/loss ratio)\n  p = probability of winning\n  q = probability of losing (1 - p)\n\nExample: 60% win rate, 2:1 payout\nKelly = (2 × 0.6 - 0.4) / 2 = 0.4 = 40%\nHalf-Kelly (safer): 20% of bankroll\n```\n\n**Rule:** Never bet full Kelly. Half-Kelly or quarter-Kelly in practice.\n\n#### Margin of Safety (Graham/Buffett)\n\n```yaml\nintrinsic_value: \"$X (your best estimate)\"\ncurrent_price: \"$Y\"\nmargin_of_safety: \"(X - Y) / X × 100%\"\n# ≥30% for stable businesses\n# ≥50% for uncertain/cyclical\n# ≥70% for speculative/turnarounds\n```\n\n**Application beyond investing:**\n- Hiring: Can this person do 30% more than the role requires?\n- Timelines: Add 50% buffer to estimates\n- Revenue projections: Plan for 70% of optimistic scenario\n- Server capacity: Provision 2x expected peak\n\n#### Asymmetric Risk/Reward\n\nThe best decisions have **capped downside and uncapped upside:**\n\n| Bet Type | Downside | Upside | Action |\n|----------|----------|--------|--------|\n| Asymmetric positive | Small, known loss | Large, open-ended gain | **Take aggressively** |\n| Symmetric | Equal loss and gain | Equal loss and gain | Take only if +EV |\n| Asymmetric negative | Large, open-ended loss | Small, known gain | **Avoid or hedge** |\n\n**Examples of asymmetric positive bets:**\n- Angel investing ($5K loss max, 100x upside possible)\n- Content creation (time investment, infinite distribution upside)\n- Learning a skill (months invested, decades of returns)\n- Cold outreach (rejection cost = 0, deal value = $$$)\n\n### 3.3 — Product & Prioritization\n\n#### ICE Scoring (Quick Prioritization)\n\n| Initiative | Impact (1-10) | Confidence (1-10) | Ease (1-10) | ICE Score |\n|-----------|---------------|-------------------|-------------|-----------|\n| Feature A | 8 | 7 | 5 | 280 |\n| Feature B | 6 | 9 | 8 | 432 |\n| Feature C | 9 | 4 | 3 | 108 |\n\n**Score = Impact × Confidence × Ease**\n\n**Calibration:**\n- Impact: Revenue, retention, or growth effect\n- Confidence: How sure are you about Impact? (data-backed = 8+, gut = 3-5)\n- Ease: 10 = hours, 7 = days, 4 = weeks, 1 = months\n\n#### Jobs To Be Done (JTBD)\n\nTemplate:\n```\nWhen [situation/trigger],\nI want to [motivation/job],\nSo I can [expected outcome].\n\nFunctional job: [What they're literally trying to do]\nEmotional job: [How they want to feel]\nSocial job: [How they want to be perceived]\n```\n\n**Insight:** People don't buy products. They hire them to make progress. Understand the job, and the product/feature decisions become obvious.\n\n#### Eisenhower Matrix (Time/Priority)\n\n| | Urgent | Not Urgent |\n|---|---|---|\n| **Important** | DO (crises, deadlines) | SCHEDULE (strategy, relationships, health) |\n| **Not Important** | DELEGATE (interruptions, some emails) | ELIMINATE (busywork, most meetings) |\n\n**Key insight:** Most people spend 80% of time in Urgent (both quadrants). Winners spend 80% in Important/Not Urgent (Q2) — that's where compounding happens.\n\n### 3.4 — Risk & Uncertainty\n\n#### Pre-Mortem (Klein)\n\nBefore committing to a plan:\n\n> \"Imagine it's 6 months from now. This decision was a disaster. What went wrong?\"\n\nTemplate:\n```yaml\ndecision: \"[What we're about to do]\"\npre_mortem_failures:\n  - failure: \"[What went wrong]\"\n    probability: \"high | medium | low\"\n    severity: \"catastrophic | major | minor\"\n    prevention: \"[What we'll do to prevent this]\"\n    detection: \"[How we'll know early if this is happening]\"\n```\n\nRun with 3+ people independently, then combine. The exercise works because it gives permission to voice concerns that \"positive thinking\" culture suppresses.\n\n#### Scenario Planning (Shell Method)\n\nDon't predict the future. Prepare for multiple futures.\n\n```yaml\nscenarios:\n  optimistic:\n    name: \"[Descriptive name]\"\n    assumptions: [\"[Key assumption 1]\", \"[Key assumption 2]\"]\n    probability: \"X%\"\n    our_response: \"[Strategy if this happens]\"\n    leading_indicators: [\"[Signal 1]\", \"[Signal 2]\"]\n\n  base_case:\n    name: \"[Descriptive name]\"\n    assumptions: [\"[Key assumption 1]\", \"[Key assumption 2]\"]\n    probability: \"X%\"\n    our_response: \"[Strategy if this happens]\"\n    leading_indicators: [\"[Signal 1]\", \"[Signal 2]\"]\n\n  pessimistic:\n    name: \"[Descriptive name]\"\n    assumptions: [\"[Key assumption 1]\", \"[Key assumption 2]\"]\n    probability: \"X%\"\n    our_response: \"[Strategy if this happens]\"\n    leading_indicators: [\"[Signal 1]\", \"[Signal 2]\"]\n\n  black_swan:\n    name: \"[Descriptive name]\"\n    assumptions: [\"[Unlikely but catastrophic event]\"]\n    probability: \"<5%\"\n    our_response: \"[Survival plan]\"\n    hedges: [\"[Protection 1]\", \"[Protection 2]\"]\n```\n\n**Rule:** If your plan only works in one scenario, it's not a plan — it's a prayer.\n\n#### Antifragility Assessment (Taleb)\n\nScore your system/business/portfolio:\n\n| Dimension | Fragile (-2 to 0) | Robust (0) | Antifragile (0 to +2) |\n|-----------|-------------------|------------|----------------------|\n| Revenue concentration | 1 client = 80% revenue | Diversified, equal | Gets stronger with market chaos |\n| Operational dependencies | Single point of failure | Redundant | Failures trigger improvements |\n| Financial structure | Leveraged, thin margins | Cash reserves, no debt | Optionality, cash to deploy in downturns |\n| Knowledge/IP | Key-person dependent | Documented, distributed | Learning system that compounds |\n| Market position | Commodity, price-taker | Differentiated | Benefits from competitor mistakes |\n\n**Total: ≥4 = antifragile, 0 = robust, ≤-4 = fragile (fix immediately)**\n\n### 3.5 — People & Organizational\n\n#### Circle of Competence (Munger)\n\nBefore any decision in a domain:\n\n```\nDomain: [Area of decision]\n\nInside my circle:\n- [What I genuinely understand from experience]\n- [Where I have real data and pattern recognition]\n- [Decisions I've made successfully before in this space]\n\nEdge of my circle:\n- [What I know I don't know]\n- [Where I'd need expert input]\n\nOutside my circle:\n- [What I'm completely unfamiliar with]\n- [Where I'd be guessing]\n\nDecision: Am I inside my circle for THIS specific decision?\nIf no → find someone who is, or do the homework first.\n```\n\n#### Hanlon's Razor + Steel Man\n\nBefore reacting to someone's behavior or proposal:\n\n1. **Hanlon's Razor:** \"Never attribute to malice what is adequately explained by incompetence\" (or ignorance, busy-ness, different priorities)\n2. **Steel Man:** Before arguing against a position, articulate the STRONGEST version of it. If you can't steel-man it, you don't understand it enough to disagree.\n\n#### Second-Order Thinking\n\nEvery decision has consequences (1st order). Those consequences have consequences (2nd order).\n\nTemplate:\n```\nDecision: [What we're doing]\n\n1st order effects (immediate):\n- [Direct result 1]\n- [Direct result 2]\n\n2nd order effects (weeks/months later):\n- [Consequence of result 1] → [Further consequence]\n- [Consequence of result 2] → [Further consequence]\n\n3rd order effects (months/years later):\n- [Systemic change 1]\n- [Systemic change 2]\n\nCounter-intuitive insight: [What becomes clear only at 2nd/3rd order]\n```\n\n**Classic examples:**\n- Lowering prices (1st: more customers → 2nd: competitors match → 3rd: margin compression industry-wide)\n- Remote work (1st: flexibility → 2nd: global talent pool → 3rd: global competition for your job)\n- Firing quickly (1st: team relief → 2nd: hiring bar rises → 3rd: culture of accountability)\n\n### 3.6 — Negotiation & Persuasion\n\n#### BATNA Analysis (Fisher/Ury)\n\nBefore any negotiation:\n\n```yaml\nmy_batna: \"[Best Alternative To Negotiated Agreement — what I do if we don't agree]\"\nmy_batna_value: \"$X or equivalent\"\ntheir_batna: \"[Their best alternative]\"\ntheir_batna_value: \"$Y or equivalent\"\nzopa: \"[Zone Of Possible Agreement: range between our walk-away points]\"\nmy_reservation_price: \"[Minimum I'd accept]\"\nmy_aspiration: \"[What I actually want]\"\ntheir_likely_reservation: \"[Best guess at their minimum]\"\n\npower_assessment: \"I have more power | balanced | they have more power\"\n# Whoever has the better BATNA has the power\n```\n\n#### Cialdini's 6 Principles (Influence Audit)\n\nFor any persuasion situation, check which levers apply:\n\n| Principle | Application | Your Move |\n|-----------|------------|-----------|\n| Reciprocity | Give first, then ask | [What value can you provide upfront?] |\n| Commitment/Consistency | Get small yeses first | [What's the micro-commitment?] |\n| Social proof | Others are doing it | [Who else has done this successfully?] |\n| Authority | Expert endorsement | [What credentials or evidence establish authority?] |\n| Liking | Build rapport first | [What genuine connection exists?] |\n| Scarcity | Limited availability | [What's genuinely scarce — time, spots, pricing?] |\n\n### 3.7 — Technical & Engineering\n\n#### Build vs Buy Decision Matrix\n\n| Criterion | Weight | Build | Buy |\n|-----------|--------|-------|-----|\n| Core differentiator? | 5 | If yes: +5 | If no: +5 |\n| Time to market | 4 | Score 1-5 | Score 1-5 |\n| Long-term cost (3yr) | 4 | Score 1-5 | Score 1-5 |\n| Customization needed | 3 | Score 1-5 | Score 1-5 |\n| Team capability | 3 | Score 1-5 | Score 1-5 |\n| Maintenance burden | 3 | Score 1-5 | Score 1-5 |\n| Vendor risk | 2 | N/A (0) | Score 1-5 |\n| Integration complexity | 2 | Score 1-5 | Score 1-5 |\n\n**Shortcut:** If it's your core differentiator → build. If it's commodity → buy. Everything else → this matrix.\n\n#### Reversibility-First Architecture\n\nDesign decisions by reversibility:\n\n| Reversibility | Examples | Approach |\n|--------------|---------|----------|\n| **Easy** (hours) | Feature flags, config, UI copy | Just do it. Iterate. |\n| **Medium** (days-weeks) | API design, database indexes, tool choices | Light analysis, time-box to 1 day |\n| **Hard** (months) | Database engine, programming language, cloud provider | Full evaluation, prototype, team input |\n| **Permanent** | Public API contracts, data deletion, legal agreements | Maximum rigor, external review, sleep on it |\n\n---\n\n## Phase 4: Cognitive Bias Defense System\n\nBiases are the #1 threat to decision quality. Active defense required.\n\n| Bias | What It Does | Defense |\n|------|-------------|---------|\n| **Confirmation bias** | Seek info that confirms what you already believe | Assign someone to argue the opposite. Search for \"why [your thesis] is wrong\" |\n| **Anchoring** | First number you hear dominates your estimate | Generate your own estimate BEFORE looking at anyone else's |\n| **Sunk cost fallacy** | Continue because you've already invested | Ask: \"If I were starting fresh today, would I begin this?\" |\n| **Survivorship bias** | Study winners, ignore the dead | Ask: \"How many tried this and failed? What did they have in common?\" |\n| **Dunning-Kruger** | Overconfidence in areas of low competence | Check: Am I inside my circle of competence? |\n| **Recency bias** | Overweight recent events | Look at 5-10 year base rates, not last quarter |\n| **Status quo bias** | Prefer current state even when suboptimal | Evaluate \"do nothing\" as an active choice with its own costs |\n| **Groupthink** | Agree with the room to avoid conflict | Write opinions independently BEFORE discussing. Use anonymous voting. |\n| **Availability heuristic** | Judge probability by how easily examples come to mind | Check actual data. Plane crashes feel common because they're memorable. |\n| **Loss aversion** | Feel losses 2x more than equivalent gains | Reframe: \"What do I gain by NOT doing this?\" |\n| **Narrative fallacy** | Construct stories to explain random events | Ask: \"Is this a pattern or am I connecting random dots?\" |\n| **Planning fallacy** | Underestimate time/cost for tasks | Use reference class forecasting: how long did SIMILAR projects take others? |\n\n### Daily Bias Checklist (Before Major Decisions)\n\n- [ ] Have I actively sought disconfirming evidence?\n- [ ] Am I anchored to someone else's number/frame?\n- [ ] Am I continuing because of sunk costs?\n- [ ] Would I make this same choice starting from zero?\n- [ ] Have I considered the base rate, not just my situation?\n- [ ] Has someone challenged this decision?\n\n---\n\n## Phase 5: Decision-Making Under Uncertainty\n\n### Confidence Calibration\n\nBefore acting on any estimate:\n\n| Your Confidence | What It Should Mean | Calibration Test |\n|----------------|-------------------|-----------------|\n| 50% | Coin flip — could go either way | Would you bet your own money at even odds? |\n| 70% | More likely than not, but real chance of being wrong | Would you bet 2:1? |\n| 90% | Very confident, would be surprised if wrong | Would you bet 9:1? |\n| 95% | Extremely confident | Would you bet 19:1? |\n| 99% | Near certain | Have you been wrong at \"99% confidence\" before? (You have.) |\n\n**Rule:** Most people are overconfident. If you think you're 90% sure, you're probably 70% sure. Adjust down.\n\n### Information Value Assessment\n\nBefore spending time/money gathering more data:\n\n```\nDecision to make: [X]\nCurrent best guess: [Y]\nCurrent confidence: [Z%]\n\nIf I gather [this information]:\n- Cost: [$X / Y hours]\n- Would it change my decision? [yes / maybe / probably not]\n- By how much would confidence increase? [+5% / +15% / +30%]\n\nValue of information = (confidence gain × decision stakes) - gathering cost\n```\n\n**Rule:** Don't research a $1,000 decision for 40 hours. Match effort to stakes.\n\n### When to Decide (Timing Framework)\n\n| Situation | Optimal Decision Time | Why |\n|-----------|----------------------|-----|\n| Information depreciates quickly | Immediately (minutes) | Waiting destroys the option |\n| Easy to reverse | Quickly (hours) | Cost of being wrong < cost of delay |\n| Moderate stakes, some data | 70% information rule | At 70% confidence, decide. Waiting for 95% means you're too late. |\n| High stakes, irreversible | Take available time (days-weeks) | Use it all. Sleep on it. Get perspectives. |\n| Emotional decision | Wait minimum 24 hours | Emotions are data, not directives. Let them settle. |\n\n---\n\n## Phase 6: Group Decision-Making\n\n### Structured Disagreement Protocol\n\nFor team/partner decisions where people disagree:\n\n1. **Independent write-up:** Each person writes their recommendation and reasoning (5 min, no discussion)\n2. **Share simultaneously:** Everyone reveals at once (prevents anchoring)\n3. **Steel man opposition:** Each person must articulate the best version of the opposing view\n4. **Identify cruxes:** What's the ONE factual question where if resolved, you'd change your mind?\n5. **Resolve or decide:** If crux is resolvable → get the data. If not → whoever has the best BATNA decides, or the person closest to the information decides.\n\n### RACI for Decisions\n\n| Role | Definition | Rule |\n|------|-----------|------|\n| **R** — Responsible | Does the analysis, prepares recommendation | Max 2 people |\n| **A** — Accountable | Makes the final call | **Exactly 1 person** |\n| **C** — Consulted | Provides input before decision | Keep small (3-5) |\n| **I** — Informed | Told after decision is made | Everyone affected |\n\n**Common failure:** No clear A. If two people think they're the decider, no decision gets made.\n\n---\n\n## Phase 7: Compounding & Systems Thinking\n\n### Compounding Mental Model\n\nMost people think linearly. Compounding is the most powerful force:\n\n```\nLinear: 1 + 1 + 1 + 1 = 4 (after 4 periods)\nCompounding: 1 × 1.1 × 1.1 × 1.1 × 1.1 = 1.46 (after 4 periods)\n\nBut after 50 periods:\nLinear: 50\nCompounding: 117.39\n\nRule of 72: Years to double = 72 / growth rate%\n- 10% growth → doubles in 7.2 years\n- 20% growth → doubles in 3.6 years\n- 1% daily improvement → 37x in one year\n```\n\n**Application:** Every decision should be evaluated for its compounding potential. A decision that creates a 1% improvement to a daily process is worth more than a one-time 50% improvement to an annual process.\n\n### Leverage Points (Meadows)\n\nWhere to intervene in a system, ranked by effectiveness:\n\n1. **Paradigms** (most powerful) — Change the mindset/goals of the system\n2. **Goals** — What the system is optimizing for\n3. **Rules** — Incentives, constraints, punishments\n4. **Information flows** — Who knows what, when\n5. **Feedback loops** — Speed and accuracy of response\n6. **Structure** — How components connect\n7. **Parameters** (least powerful) — Numbers, budgets, quotas\n\n**Insight:** Most people intervene at #7 (adjust the budget). The highest-leverage interventions are at #1-3 (change what we're optimizing for).\n\n---\n\n## Phase 8: Personal Decision-Making\n\n### The Energy Audit\n\nNot all decisions need the same energy:\n\n```yaml\nhigh_energy_decisions: # Use frameworks, sleep on it\n  - Career changes\n  - Major financial commitments (>10% of net worth)\n  - Hiring/firing\n  - Market entry/exit\n  - Relationship commitments\n\nmedium_energy_decisions: # 30-min analysis, then decide\n  - Quarterly priorities\n  - Tool/vendor selection\n  - Pricing adjustments\n  - Content strategy\n\nlow_energy_decisions: # Decide in <5 min or automate\n  - What to eat, wear, read\n  - Meeting attendance\n  - Social media responses\n  - Routine purchases\n\nrule: \"Match decision energy to decision stakes. Most people overthink low-energy decisions and underthink high-energy ones.\"\n```\n\n### Default Rules (Eliminate Decision Fatigue)\n\nCreate personal defaults so you don't waste energy:\n\n```yaml\ndefaults:\n  new_meeting_request: \"Default NO unless clearly advances top 3 priorities\"\n  price_negotiation: \"Never discount more than 15% — offer value instead\"\n  new_project: \"Default NO unless it replaces something on current list\"\n  email_response: \"Batch 2x/day. Respond in ≤3 sentences or schedule a call\"\n  investment: \"Default index fund. Active only with genuine edge + margin of safety\"\n  delegation: \"If someone can do it 80% as well, delegate\"\n  saying_yes: \"If it's not a HELL YES, it's a no\"\n```\n\n---\n\n## Phase 9: Decision Frameworks by Situation\n\nQuick reference — which framework for which situation:\n\n| Situation | Primary Framework | Supporting Model |\n|-----------|------------------|-----------------|\n| Should we enter this market? | Porter's Five Forces + Moat Assessment | Scenario Planning |\n| Should I take this job/opportunity? | Regret Minimization + Circle of Competence | Asymmetric Risk |\n| Which feature to build next? | ICE Scoring + JTBD | 2nd Order Thinking |\n| Should we invest/bet on X? | Expected Value + Margin of Safety | Pre-Mortem |\n| How to price our product? | *See afrexai-pricing-strategy* | Competitive Positioning |\n| Hiring decision? | *See afrexai-interview-architect* | Circle of Competence |\n| How to negotiate this deal? | BATNA + Cialdini | *See afrexai-negotiation-mastery* |\n| Build or buy this component? | Build vs Buy Matrix | Reversibility Assessment |\n| Team disagrees on direction | Structured Disagreement Protocol | Pre-Mortem |\n| I'm overwhelmed with options | Eisenhower Matrix + Default Rules | Energy Audit |\n| Business feels fragile | Antifragility Assessment | Scenario Planning |\n| Competitor making moves | OODA Loop + *See afrexai-competitive-intel* | Wardley Mapping |\n| Something failed, now what? | 5 Whys + Inversion | Sunk Cost check |\n| Big life decision | Regret Minimization + Second-Order | Sleep on it (24h rule) |\n\n---\n\n## Phase 10: Decision Quality Rubric\n\nScore any decision AFTER making it (or retrospectively):\n\n| Dimension | Weight | Score (0-10) | Weighted |\n|-----------|--------|-------------|----------|\n| Problem definition clarity | 15% | _ | _ |\n| Options explored (≥3, incl. \"do nothing\") | 15% | _ | _ |\n| Evidence quality (data vs. gut) | 15% | _ | _ |\n| Bias mitigation (actively countered?) | 15% | _ | _ |\n| Stakeholder input (right people consulted?) | 10% | _ | _ |\n| Second-order effects considered | 10% | _ | _ |\n| Reversibility & downside mapped | 10% | _ | _ |\n| Time-appropriate process | 10% | _ | _ |\n| **Total** | 100% | | _ /100 |\n\n**≥80:** Excellent process — outcome is in fortune's hands, not yours\n**60-79:** Good — minor gaps but fundamentally sound\n**40-59:** Mediocre — important dimensions skipped\n**≤39:** Poor — outcome is a coin flip regardless of luck\n\n**Critical insight:** Judge decisions by PROCESS quality, not outcomes. A good process can produce bad outcomes (variance). A bad process that produces good outcomes is dangerous — it teaches bad habits.\n\n---\n\n## Phase 11: Decision Record Template\n\nDocument every significant decision:\n\n```yaml\ndecision_record:\n  id: \"DR-[YYYY-MM-DD]-[number]\"\n  date: \"YYYY-MM-DD\"\n  decision: \"[One sentence — what we decided]\"\n  type: \"1 | 2\"\n  context: \"[Why this decision was needed now]\"\n  options_considered:\n    - option: \"[Option A]\"\n      pros: [\"...\", \"...\"]\n      cons: [\"...\", \"...\"]\n    - option: \"[Option B]\"\n      pros: [\"...\", \"...\"]\n      cons: [\"...\", \"...\"]\n    - option: \"Do nothing\"\n      pros: [\"...\", \"...\"]\n      cons: [\"...\", \"...\"]\n  decision_rationale: \"[Why we chose this option]\"\n  frameworks_used: [\"[Framework 1]\", \"[Framework 2]\"]\n  key_assumptions: [\"[Assumption 1]\", \"[Assumption 2]\"]\n  risks_accepted: [\"[Risk 1]\", \"[Risk 2]\"]\n  success_criteria: \"[How we'll know this was right]\"\n  review_date: \"YYYY-MM-DD (when to evaluate)\"\n  quality_score: \"X/100 (Phase 10 rubric)\"\n  decided_by: \"[Name]\"\n  consulted: [\"[Name 1]\", \"[Name 2]\"]\n  \n  # Fill in at review_date:\n  outcome: \"[What actually happened]\"\n  lessons: \"[What we learned]\"\n  would_decide_differently: \"yes | no\"\n  why: \"[If yes, what would we change about the PROCESS?]\"\n```\n\n---\n\n## Phase 12: Advanced Patterns\n\n### Barbell Strategy (Taleb)\n\nCombine extreme safety with extreme risk. Avoid the middle.\n\n```\nPortfolio: 85-90% ultra-safe (treasuries, cash, index) + 10-15% high-risk/high-reward (startups, crypto, moonshots)\nTime: 80% predictable deep work + 20% wild exploration/experimentation\nProducts: Cash cow product (boring, reliable) + speculative bets (innovative, might fail)\nCareer: Stable income source + asymmetric side projects\n```\n\n**Why no middle:** The \"medium risk\" zone gives you medium returns with hidden tail risk. Better to KNOW you're safe on one side and gambling on the other.\n\n### Lindy Effect\n\nThe longer something has survived, the longer it will likely survive.\n\n**Applications:**\n- Books: A 100-year-old book is more likely relevant in 10 years than a 1-year-old book\n- Technologies: SQL (50 years) will outlast this year's hot framework\n- Business models: Subscription model (centuries old as concept) > novel monetization\n- Advice: Wisdom from 2,000 years ago (Stoics, Sun Tzu) > last week's Twitter thread\n\n### Via Negativa (Subtract, Don't Add)\n\nOften the best decision is what to REMOVE, not what to add:\n\n- Remove a feature (focus)\n- Remove a meeting (time)\n- Remove a client (sanity, team morale)\n- Remove a goal (clarity)\n- Remove a bad habit (energy)\n- Remove complexity (reliability)\n\n**Template:** \"What's the ONE thing I could eliminate that would improve everything else?\"\n\n### Opportunity Cost Consciousness\n\nEvery yes is a no to something else:\n\n```\nIf I do X:\n- Direct benefit: [value gained]\n- Time cost: [hours/days/weeks]\n- Best alternative use of that time: [what I'm saying no to]\n- Opportunity cost: [value of best alternative forgone]\n\nNet value = Direct benefit - Opportunity cost\n```\n\n**If net value is negative, you're destroying value by saying yes — even though it \"feels productive.\"**\n\n---\n\n## 10 Decision-Making Commandments\n\n1. **Classify before analyzing.** Type 1 or Type 2? Match process to stakes.\n2. **\"Do nothing\" is always an option.** Evaluate it explicitly.\n3. **Seek disconfirming evidence.** The moment you like an idea, hunt for why it's wrong.\n4. **Separate process from outcome.** Good process, bad outcome = fine. Bad process, good outcome = lucky.\n5. **Time-box decisions.** Set a deadline. Perfectionism is a form of procrastination.\n6. **Write it down.** Unwritten decisions can't be reviewed, learned from, or challenged.\n7. **One decider.** Every decision needs exactly one person who makes the final call.\n8. **Sleep on Type 1 decisions.** Your brain processes during sleep. Use it.\n9. **Review decisions.** Quarterly, look at your decision records. What patterns emerge?\n10. **Compound decision quality.** Each good decision process makes the next one better. This is the real edge.\n\n---\n\n## 10 Common Decision Mistakes\n\n| # | Mistake | Fix |\n|---|---------|-----|\n| 1 | Deciding too slowly on Type 2 decisions | Set a timer. If reversible, decide now. |\n| 2 | Never writing down assumptions | Every decision has assumptions. Write them. Test them. |\n| 3 | Asking for consensus instead of input | Consensus = lowest common denominator. Get input, then one person decides. |\n| 4 | Optimizing for one variable | Life is multi-variable. Use weighted scoring. |\n| 5 | Ignoring opportunity cost | \"This is good\" isn't enough. \"This is better than alternatives\" is the bar. |\n| 6 | Deciding when emotional | 24-hour rule for anything you'd regret. |\n| 7 | Copying without context | \"Amazon does X\" means nothing if you're not Amazon. Understand WHY they do X. |\n| 8 | Analysis paralysis on small decisions | Automate (defaults) or delegate anything under $500/2 hours. |\n| 9 | Never reviewing past decisions | Same mistakes on repeat. Quarterly decision reviews = compounding improvement. |\n| 10 | Conflating confidence with competence | Loud ≠ right. Data ≠ understanding. Check circle of competence. |\n\n---\n\n## Natural Language Commands\n\n- **\"Help me decide [X]\"** → Full decision walkthrough (Quick Start)\n- **\"Score this decision\"** → Decision Quality Rubric (Phase 10)\n- **\"Pre-mortem [plan]\"** → Pre-mortem exercise (Phase 4)\n- **\"Is this inside my circle?\"** → Circle of Competence check\n- **\"Bias check\"** → Daily Bias Checklist\n- **\"Expected value of [bet]\"** → EV calculation\n- **\"Map the second-order effects\"** → Second-order thinking template\n- **\"BATNA analysis for [negotiation]\"** → Full BATNA template\n- **\"Rate this market\"** → Porter's Five Forces scoring\n- **\"How strong is the moat?\"** → Moat Assessment\n- **\"Which framework should I use?\"** → Phase 9 situation lookup\n- **\"Write a decision record\"** → DR template (Phase 11)\n","readmeExcerpt":"--- name: afrexai-strategic-thinking description: > Complete strategic thinking & mental models toolkit. 50+ decision frameworks organized by situation type — business strategy, investing, hiring, pricing, risk, negotiations, product, and personal life. Use when facing any important decision, analyzing a situation, or building a decision culture. Includes scoring rubrics, templates, anti-patterns, and real-world appl","codeSnippets":[],"executableExamples":[{"language":"yaml","snippet":"decision: \"[What you're deciding]\"\ntype: 1 | 2\nreversibility_cost: \"$X / Y hours / Z reputation damage\"\nupside_if_right: \"[Best realistic outcome]\"\ndownside_if_wrong: \"[Worst realistic outcome]\"\ntime_to_know: \"[When will you know if this was right?]\"\nasymmetry: \"positive | negative | symmetric\"\n# positive = upside >> downside (bet freely)\n# negative = downside >> upside (be cautious)\n# symmetric = roughly equal (use expected value)"},{"language":"text","snippet":"Goal: [What you want to achieve]\n\nHow to guarantee failure:\n1. [Anti-pattern 1]\n2. [Anti-pattern 2]\n3. [Anti-pattern 3]\n4. [Anti-pattern 4]\n5. [Anti-pattern 5]\n\nTherefore, avoid:\n1. [Inverted actionable rule]\n2. [Inverted actionable rule]\n3. [Inverted actionable rule]"},{"language":"text","snippet":"EV = (Probability of Win × Win Amount) - (Probability of Loss × Loss Amount)\n\nExample:\n- 30% chance of winning $100,000\n- 70% chance of losing $20,000\n- EV = (0.30 × $100,000) - (0.70 × $20,000) = $30,000 - $14,000 = +$16,000\n\nDecision: Positive EV → take the bet (if you can afford the loss)"},{"language":"text","snippet":"Kelly % = (bp - q) / b\nWhere:\n  b = odds received (win/loss ratio)\n  p = probability of winning\n  q = probability of losing (1 - p)\n\nExample: 60% win rate, 2:1 payout\nKelly = (2 × 0.6 - 0.4) / 2 = 0.4 = 40%\nHalf-Kelly (safer): 20% of bankroll"},{"language":"yaml","snippet":"intrinsic_value: \"$X (your best estimate)\"\ncurrent_price: \"$Y\"\nmargin_of_safety: \"(X - Y) / X × 100%\"\n# ≥30% for stable businesses\n# ≥50% for uncertain/cyclical\n# ≥70% for speculative/turnarounds"},{"language":"text","snippet":"When [situation/trigger],\nI want to [motivation/job],\nSo I can [expected outcome].\n\nFunctional job: [What they're literally trying to do]\nEmotional job: [How they want to feel]\nSocial job: [How they want to be perceived]"}],"parameters":{},"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["typescript"],"docsSourceLabel":"CLAWHUB","editorialOverview":"Complete strategic thinking & mental models toolkit. 50+ decision frameworks organized by situation type — business strategy, investing, hiring, pricing, risk, negotiations, product, and personal life. Use when facing any important decision, analyzing a situation, or building a decision culture. Includes scoring rubrics, templates, anti-patterns, and real-world application guides. --- name: afrexai-strategic-thinking description: > Complete strategic thinking & mental models toolkit. 50+ decision frameworks organized by situation type — business strategy, investing, hiring, pricing, risk, negotiations, product, and personal life. Use when facing any important decision, analyzing a situation, or building a decision culture. 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