Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from, and at what risk.
git clone https://github.com/deanpeters/Product-Manager-Skills.git--- name: ansoff-matrix argument-hint: "[company or product line, its current core, and the growth outcome sought]" description: "Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from, and at what risk." intent: >- A researched Ansoff Matrix, not a brainstorm grid: market penetration, market development, product development, and diversification, each quadrant populated with candidate moves backed by documented signals, risk ratings that respect the matrix's risk gradient, and a recommended sequence with the assumption that breaks it. type: workflow theme: market-intelligence best_for: - "Answering 'where does the next tranche of growth come from?' with evidence per option" - "Forcing diversification proposals to carry the evidence burden their risk demands" - "Sequencing growth moves so early wins fund the riskier bets" scenarios: - "Growth planning for next year — map our options across the Ansoff quadrants with evidence" - "The board wants a diversification story; pressure-test it against what the signals actually support" estimated_time: "25-40 min per run" --- # Ansoff Matrix (Evidence-Backed) ## Purpose Map a company's growth options across the Ansoff Matrix with evidence per quadrant: **use or gather evidence → four quadrants with signals → risk-rated sequence → next-step options.** The four quadrants — market penetration, market development, product development, diversification — organize one question: *where does the next tranche of growth come from, and at what risk?* This is a research instrument, not wishful whiteboarding: every candidate move must answer "what documented signal says this demand exists?" And the close is a sequence, because growth options compound — penetration funds development, and diversification bets the funding. ## Input **Works best with:** the company or product line seeking growth, its **current core** (who is served, with what, at what scale — the matrix's axes are defined relative to it), and the growth outcome and horizon on the table. **Also useful:** constraints (capital, capability, risk appetite), and any research in session — a landscape scan, five-forces read, or [`company-intel`](../company-intel/SKILL.md) output lets the matrix organize evidence instead of gathering it. Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it against the question budget; don't re-ask. **Arriving empty-handed? That works too.** The skill opens with at most 3 questions (core, outcome and horizon, constraints) and proceeds on labeled assumptions if they go unanswered. **Example invocation:** `Ansoff growth options for our field-service product line — core: dispatch software for mid-market HVAC firms, US. Outcome: +40% ARR in 24 months. Constraint: no acquisitions.` ## Key Concepts - **Governing protocol:** honors the [`autonomous-investigation`](../autonomous-investigation/SKILL.md) contract — question budget of 3, search-plan gate, Fact/Inference/Assumption labels, Just Enough Mode (2-3 moves per quadrant), stable schema, 4-option Final Step. - **The framework (Ansoff, 1957):** growth options plotted on two axes — existing vs. new *products*, existing vs. new *markets*. Penetration (existing/existing) is the lowest-risk quadrant; diversification (new/new) the highest, because it abandons both anchors of proven demand at once. - **The risk gradient is law.** Penetration < market development ≈ product development < diversification. A diversification move rated "low risk" needs extraordinary evidence — and the gradient teaches why diversification proposals deserve the heaviest evidence burden and usually arrive with the lightest. - **Signals, not wishes.** Candidate moves come from documented signals: underserved-segment data, expressed demand ([`voice-of-customer-miner`](../voice-of-customer-miner/SKILL.md) themes), competitor precedent, capability evidence. An empty diversification quadrant is an acceptable answer; an invented one is not. - **Coaching vs. investigation — same map, different jobs:** [`organic-growth-advisor`](../organic-growth-advisor/SKILL.md) is the Interactive sibling that *diagnoses your growth constraint* through questions (its Growth Path Matrix shares Ansoff's axes); this skill *researches the evidence* for each quadrant's options. Diagnose there, evidence here — they pair deliberately. - **When NOT to use:** feature-level prioritization (this is portfolio altitude — use [`feature-investment-advisor`](../feature-investment-advisor/SKILL.md) for a single build decision); no growth mandate or capacity — an options map without an owner is a poster. - **Do-not-invent list:** market sizes, adoption data, competitor results, demand claims. Where sizing matters, flag it for [`tam-sam-som-calculator`](../tam-sam-som-calculator/SKILL.md) rather than guessing. ## Application 1. **Check session for existing evidence** (landscape scan, five forces, company intel, VoC). Present → the matrix organizes it; search only gaps. 2. **Credit inline context**, then ask only the unanswered questions (max 3): 1. Which company or product line, and what is its current core? 2. What growth outcome and horizon is on the table? 3. Any constraints — capital, capability, risk appetite? 3. **If researching fresh, show the 3-bullet search plan** — what you'll search per quadrant (segment data, expressed demand, competitor precedents, capability signals), source types, fact/inference separation. Continue unless revised. 4. **Populate the quadrants and emit the schema below exactly.** ### Output schema (do not reorder) ~~~markdown # Ansoff Growth Options: [Company / Product Line] **As-of date:** | **Current core:** | **Growth outcome sought:** ## 1. Market Penetration (existing product, existing market — lowest risk) - **[Candidate move]** — signal: [evidence, URL, label] — risk: [low/med/high, why] - [2-3 moves] ## 2. Market Development (existing product, new market) - **[Candidate move: segment, geography, or channel]** — signal: [evidence of underserved demand, URL, label] — risk: [rating, why] - [2-3 moves] ## 3. Product Development (new product, existing market) - **[Candidate move]** — signal: [expressed demand, VoC theme, competitor precedent, URL, label] — risk: [rating, why] - [2-3 moves] ## 4. Diversification (new product, new market — highest risk) - **[Candidate move]** — signal: [the extraordinary evidence this quadrant requires, URL, label] — risk: [rating, why] - [1-2 moves; an empty quadrant is an acceptable answer] ## 5. Recommended Sequence (the "so what") - **First:** [move] — because [evidence strength + funding logic] - **Then:** [move] — funded/de-risked by the first - **Not yet:** [the tempting move and why the evidence says wait] - **The assumption that breaks this sequence:** [one line] ### Assumptions to Validate - [Assumption 1] / [Assumption 2] / [Assumption 3] ~~~ A copy/paste fill-in version of this schema, with quality checks, lives in [`template.md`](template.md). ### Final Step (offer exactly 4 options) 1. Size the top move with TAM/SAM/SOM ([`tam-sam-som-calculator`](../tam-sam-som-calculator/SKILL.md)) (Recommended) 2. Pressure-test the sequence with a premortem 3. Deep-dive the diversification quadrant's evidence 4. Convert the first move into an opportunity solution tree ([`opportunity-solution-tree`](../opportunity-solution-tree/SKILL.md)) Accept `1`, `2`, `3`, `4`, `1 and 2`, `Verbose Mode`, or a custom path. ## Examples **A quadrant entry earning its place (fictional):** > ## 2. Market Development > - **Adjacent trade: plumbing contractors, same size band** — signal: plumbing firms appear > unprompted in 14% of our category's review-site mentions asking "does this work for plumbing?" — > **Fact** ([review threads, URLs]); the two incumbents serving plumbing both gate scheduling > behind enterprise tiers — **Fact** ([pricing pages]) — risk: **medium** — demand signal is real > but second-hand; sales motion transfers, integrations don't fully. **The sequence close doing its job:** > - **First:** win-back campaign into the churned-but-reachable base (penetration) — strongest > evidence, funds everything else, 1-quarter payback > - **Then:** plumbing-contractor entry (market development) — de-risked by the penetration win's > cash and case studies > - **Not yet:** the IoT hardware bundle (diversification) — one analyst mention and founder > enthusiasm is not extraordinary evidence > - **The assumption that breaks this sequence:** churned customers left for fixable reasons; if > win-loss shows they left the *category*, penetration is a dead first move and development leads. See [`examples/sample.md`](examples/sample.md) for a complete worked matrix (fictional FSM-software market) with an honestly empty diversification quadrant and a sequence whose breaking assumption is named. [`examples/sample-industrial.md`](examples/sample-industrial.md) shows the opposite lesson: a populated diversification quadrant whose entry fails the evidence bar in writing. ## Common Pitfalls - **The brainstorm grid.** Four quadrants of unsourced ambition. Every move answers "what signal says this demand exists?" or it doesn't ship — that single rule converts Ansoff from wall art into an instrument. - **Risk-gradient denial.** A diversification move rated low-risk on enthusiasm. The gradient is the framework's whole teaching: new product *and* new market means both anchors are gone. - **Quadrant stuffing.** Filling diversification because empty feels lazy. An honestly empty quadrant is a finding; a padded one is a liability with a deadline. - **Options without sequence.** A menu with no first move, no funding logic, no breaking assumption. Growth options compound — order is the strategy. - **Sizing by vibe.** Attaching invented market sizes to moves. The do-not-invent list routes sizing to the TAM/SAM/SOM calculator, where the math shows its work. ## References - [`organic-growth-advisor`](../organic-growth-advisor/SKILL.md) (Interactive) — the coaching sibling: diagnoses *which* growth path fits your constraint; this skill evidences the options - [`autonomous-investigation`](../autonomous-investigation/SKILL.md) (Workflow) — the governing protocol - [`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md) (Component) — signal sources per quadrant - [`porters-five-forces`](../porters-five-forces/SKILL.md) (Workflow) — the profit-pool read that feeds this analysis - [`tam-sam-som-calculator`](../tam-sam-som-calculator/SKILL.md) (Component) — sizes the moves - [`voice-of-customer-miner`](../voice-of-customer-miner/SKILL.md) (Workflow) — expressed-demand signals for product development - [`opportunity-solution-tree`](../opportunity-solution-tree/SKILL.md) (Interactive) — structures the first move's execution - H. Igor Ansoff, "Strategies for Diversification" (Harvard Business Review, 1957) - Adapted from `market-intelligence/ansoff-matrix-prompt.md` in the `https://github.com/deanpeters/product-manager-prompts` repo.
1. **Gather Data:** Collect [CURRENT_MARKET_SHARE], [AVAILABLE_DATA], and [RISK_CRITERIA] for your company. Use tools like Google Analytics (for market share), CRM reports (for customer feedback), or industry reports (for trends). 2. **Customize the Prompt:** Replace [COMPANY], [INDUSTRY], [CURRENT_MARKET_SHARE], [RISK_CRITERIA], and [AVAILABLE_DATA] with your specific inputs. For example, if you're a SaaS company, [RISK_CRITERIA] might include "customer acquisition cost (CAC) vs. lifetime value (LTV)". 3. **Run the Analysis:** Paste the customized prompt into your AI tool (e.g., Claude, ChatGPT, or Perplexity) and generate the initial output. Review the options and risk ratings for accuracy. 4. **Validate and Refine:** Cross-check the AI’s recommendations with your internal team or external advisors. Adjust the sequencing or risk ratings based on additional context (e.g., budget constraints, team capacity). 5. **Create an Action Plan:** Use the AI’s output to draft a 12-24 month growth roadmap. Assign owners, timelines, and KPIs for each option (e.g., "Expand shelf space in Whole Foods by Q3 2024, owned by Sales Team, KPI: 20% increase in regional sales"). **Tips for Better Results:** - **Be Specific:** The more detailed your inputs (e.g., "$5M budget for acquisitions" instead of "high investment"), the more actionable the output. - **Iterate:** Run the analysis multiple times with different [RISK_CRITERIA] (e.g., "short-term cash flow impact" vs. "long-term brand equity") to stress-test the recommendations. - **Combine with Other Tools:** Use the Ansoff Matrix output alongside a SWOT analysis or Porter’s Five Forces for a holistic view.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/ansoff-matrixCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a strategic growth advisor. Using the Ansoff Matrix framework, evaluate the growth opportunities for [COMPANY] in [INDUSTRY] with [CURRENT_MARKET_SHARE] market share. For each of the four quadrants (Market Penetration, Market Development, Product Development, Diversification), identify 2-3 specific, evidence-backed options. Rank these options by risk level (low, medium, high) using [RISK_CRITERIA: e.g., investment required, market volatility, execution complexity]. Provide a sequencing recommendation for implementation over the next 12-24 months, prioritizing low-risk options first. Base your analysis on [AVAILABLE_DATA: e.g., customer feedback, market trends, competitor analysis].
For **GreenLeaf Organics**, a mid-sized organic food producer with 8% market share in the U.S. natural grocery segment, the Ansoff Matrix analysis reveals the following growth opportunities, ranked by risk: **Market Penetration (Low Risk):** 1. **Expand shelf space in existing Whole Foods stores** – Leveraging their strong relationships with Whole Foods’ regional buyers, GreenLeaf can negotiate 20% more shelf space for its top-selling almond milk and granola lines. Risk: Low (established relationships, incremental cost). Expected ROI: 15% in Year 1. 2. **Loyalty program launch** – Introduce a subscription model for bulk purchases of their most popular products (e.g., quinoa, chia seeds). Risk: Low (proven demand, minimal tech investment). Expected ROI: 12% in Year 1. **Market Development (Medium Risk):** 1. **Enter the Canadian market via Loblaws** – Loblaws has expressed interest in organic private-label products, and GreenLeaf’s almond milk aligns with their "President’s Choice Organic" line. Risk: Medium (regulatory compliance, distribution setup). Expected ROI: 22% by Year 2. 2. **Target millennial parents in urban areas** – Launch a "Kid-Friendly Organic Snacks" line in Target’s "Good & Gather" organic section. Risk: Medium (brand dilution if not positioned correctly). Expected ROI: 18% by Year 2. **Product Development (Medium-High Risk):** 1. **Develop a plant-based meat alternative** – Capitalize on the 30% YoY growth in this category by launching a pea-protein-based burger. Risk: High (R&D costs, unproven market fit). Expected ROI: 25% by Year 3, but requires $2M in upfront investment. 2. **Create a "Superfood Blends" line** – Pre-mixed smoothie packs with ingredients like spirulina and maca. Risk: Medium-High (consumer education needed). Expected ROI: 20% by Year 2. **Diversification (High Risk):** 1. **Acquire a small organic baby food brand** – Enter the $1.2B organic baby food market with an acquisition target like **HappyTot Organic**. Risk: High (integration challenges, regulatory hurdles). Expected ROI: 30% by Year 3, but requires $5M investment. 2. **Launch a meal-kit subscription service** – "GreenLeaf Fresh" delivers pre-portioned organic ingredients with recipes. Risk: Very High (operational complexity, competition from HelloFresh). Expected ROI: 15% by Year 3, but break-even may take 4 years. **Sequencing Recommendation:** - **Year 1:** Focus on Market Penetration (expand Whole Foods shelf space + loyalty program). These options require minimal capital and leverage existing strengths. - **Year 2:** Pursue Market Development (enter Canada + urban parents) and Product Development (plant-based meat alternative). These require moderate investment but align with market trends. - **Year 3+:** Consider Diversification (acquisition or meal-kit) only if the first two phases succeed and capital is available. **Key Risks to Monitor:** - **Supply chain bottlenecks** could delay the Canadian market entry. - **Consumer backlash** against new product lines (e.g., plant-based meat) if not marketed carefully. - **Regulatory changes** in organic labeling could impact diversification efforts.
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