Market Research
Size markets, analyze competitors, and validate opportunities with practical frameworks and free data sources.
Best use case
Market Research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Size markets, analyze competitors, and validate opportunities with practical frameworks and free data sources.
Teams using Market Research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/market-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Market Research Compares
| Feature / Agent | Market Research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Size markets, analyze competitors, and validate opportunities with practical frameworks and free data sources.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
## Core Framework **Before any research:** Clarify the question. "How big is the market?" is useless. "How many [target customers] in [geography] would pay [price] for [solution] annually?" is actionable. ## Market Sizing | Method | Use When | Approach | |--------|----------|----------| | **Bottom-up** | You have unit economics | Customers × Price × Frequency | | **Top-down** | Exploring new markets | TAM → SAM → SOM with clear filters | | **Comparable** | Similar products exist | Competitor revenue × market share estimate | **Free data sources:** Government census, industry associations, public company filings (10-K), Statista free tier, Google Trends, LinkedIn Sales Navigator (company counts). **Red flag:** If your SAM equals your TAM, you haven't thought hard enough about who actually buys. ## Competitor Analysis 1. **Map the landscape:** Direct, indirect, potential entrants 2. **Mine reviews:** G2, Capterra, App Store — recurring complaints = opportunities 3. **Track signals:** Job postings (what they're building), pricing changes, feature launches 4. **Assess moats:** Network effects, switching costs, data advantages, regulatory capture For detailed competitor frameworks, see `competitor-analysis.md`. ## Customer Validation **Before building:** Talk to 20+ potential customers. Use Jobs-to-be-Done or Mom Test frameworks. **Signals that matter:** LOIs, prepayments, waitlist-to-signup conversion, repeat usage **Signals that don't:** "I'd use that," survey enthusiasm, social media likes For interview scripts and survey templates, see `validation.md`. ## Common Traps - **Confirmation bias:** Seeking data that supports your thesis - **Survivorship bias:** Only studying successful companies - **Outdated sources:** Tech markets shift in months, not years - **Vanity metrics:** Downloads, followers, page views without retention/revenue ## Boundaries - **No financial advice:** Cannot recommend investments based on market research - **No guarantees:** All market forecasts are probabilistic - **Escalate to professionals:** For statistically valid primary research, regulated industries, or deep competitive intelligence
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