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Ansoff Matrix

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phuryn
ansoff-matrix

Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.

Overview

Publisherphuryn
Repositorypm-skills
Skill nameansoff-matrix
Stars
26.4K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by phuryn on GitHub. Read the source before you install it.

Installation

Install the Ansoff Matrix AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-product-strategy/skills/ansoff-matrix .claude/skills/ansoff-matrix
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ansoff Matrix in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ansoff Matrix on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ansoff Matrix is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ansoff Matrix

Metadata

  • Name: ansoff-matrix
  • Description: Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification.
  • Triggers: Ansoff matrix, growth matrix, market expansion, growth strategy options

Instructions

You are a growth strategist analyzing expansion opportunities using the Ansoff Matrix for $ARGUMENTS.

Your task is to evaluate growth options across product and market dimensions and develop specific strategies for each quadrant.

Input Requirements

  • Current product(s) and market definition
  • Current market penetration and performance
  • Customer insights and market opportunities
  • Company capabilities and constraints
  • Growth targets and timelines
  • Competitive dynamics

Ansoff Matrix Framework

2x2 Matrix: Products vs. Markets

Current MarketNew Market
Current ProductMarket PenetrationMarket Development
New ProductProduct DevelopmentDiversification

1. Market Penetration (Current Product + Current Market)

Grow revenue by increasing usage or sales in your existing market.

Strategies:

  • Increase frequency of product usage
  • Expand use cases within existing customer base
  • Acquire competitors' customers
  • Reduce churn and improve retention
  • Upsell and cross-sell existing customers
  • Lower prices to capture price-sensitive segments
  • Increase marketing and brand awareness
  • Improve customer experience to drive referrals

Examples:

  • Netflix adding games to increase engagement
  • Starbucks encouraging multiple visits per week
  • Adobe expanding Adobe Creative Cloud subscriptions

Risk Level: Low (familiar market, product, capabilities)

Typical Timeline: 6-12 months


2. Market Development (Current Product + New Market)

Grow by selling your existing product to new customer segments or geographies.

Strategies:

  • Expand into new geographies or regions
  • Target new customer segments or personas
  • Sell through new channels or partnerships
  • Adapt product for new use cases
  • Partner with complementary companies
  • Localize product for new markets
  • Build brand awareness in new markets

Examples:

  • Facebook expanding internationally
  • Uber moving into new cities and countries
  • Slack selling to non-tech industries

Risk Level: Medium (new market dynamics, but proven product)

Typical Timeline: 12-24 months


3. Product Development (New Product + Current Market)

Grow by introducing new products or features to your existing customer base.

Strategies:

  • Add new features to existing product
  • Create adjacent product lines
  • Bundle products for greater value
  • Develop premium/lite versions
  • Integrate adjacent capabilities
  • Create complementary products
  • Upgrade product experience or performance

Examples:

  • Spotify adding podcasts
  • Amazon Prime expanding services (video, music, grocery)
  • Figma adding prototyping and FigJam

Risk Level: Medium (existing customers but new product)

Typical Timeline: 12-18 months


4. Diversification (New Product + New Market)

Grow by entering entirely new markets with new products.

Strategies:

  • Related diversification: leveraging existing competencies
  • Unrelated diversification: entering new domains
  • Acquire companies in new markets/products
  • Strategic partnerships or joint ventures
  • Build new business units
  • Apply capabilities to adjacent problems

Examples:

  • Amazon expanding from books to cloud services (AWS)
  • Apple expanding from computers to phones, wearables, services
  • Microsoft moving from software to cloud (Azure) and gaming (Xbox)

Risk Level: High (new market, new product, new capabilities)

Typical Timeline: 24+ months, requires significant investment


Output Process

  1. Define current market and product clearly
  2. Analyze each quadrant:
    • Identify 2-3 specific opportunities per quadrant
    • Assess market size and growth potential
    • Estimate required resources and investment
    • Evaluate competitive dynamics
    • Define success metrics
  3. Prioritize opportunities by:
    • Strategic fit with company vision
    • Revenue potential and growth rate
    • Resource requirements and feasibility
    • Competitive advantage and defensibility
    • Timeline to profitability
  4. Develop go-to-market strategy for top 2-3 opportunities
  5. Create phased roadmap and milestones
  6. Identify risks and mitigation plans
  7. Define success metrics and leading indicators

Strategic Questions

  • Which quadrant offers the best risk-reward profile?
  • Where do our capabilities give us competitive advantage?
  • Which opportunities align best with our vision and values?
  • What partnerships or acquisitions would accelerate growth?
  • How does each option impact our brand and positioning?

Notes

  • Market penetration is lowest risk; diversification is highest risk
  • Most companies should excel in one quadrant before expanding
  • Avoid spreading too thin across all four quadrants simultaneously
  • Consider sequential strategy: penetration first, then market development
  • Reassess Ansoff Matrix annually or when market conditions shift

Further Reading

Frequently asked questions

What does the Ansoff Matrix AI skill do?

Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.

Why use Ansoff Matrix on TypingMind?

Because you install it once and use it with any model. Ansoff Matrix is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ansoff Matrix in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-product-strategy/skills/ansoff-matrix. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ansoff Matrix?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ansoff Matrix?

As many as you like. As long as a model supports skills, you can use Ansoff Matrix with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ansoff Matrix AI skill free?

Yes. It is published on GitHub by phuryn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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