Skip to content
FunCoding

Search

Search docs, Skills and MCP

ansoff-matrix

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.

AI 与智能体7.2kskills/ansoff-matrix/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/deanpeters/product-manager-skills/ansoff-matrix/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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 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 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 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 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 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 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)

# 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.

Final Step (offer exactly 4 options)

  1. Size the top move with TAM/SAM/SOM (tam-sam-som-calculator) (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)

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 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 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

Similar Skills

brand-guidelines
anthropics/skills180k

brand-guidelines

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

AI & agents

internal-comms
anthropics/skills180k

internal-comms

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

AI & agents

template-skill
anthropics/skills180k

template-skill

Replace with description of the skill and when Claude should use it.

AI & agents

mcp-builder
anthropics/skills180k

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

AI & agents

algorithmic-art
anthropics/skills180k

algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

AI & agents

academy-guide
anthropics/skills180k

academy-guide

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

AI & agents