Market Research Litiao

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name: market-research-litiao slug: market-research description: "Size markets, analyze competitors, and validate opportunities with practical frameworks and free data sources. Uses Tavily API (preferred) for research." metadata: {"clawdbot":{"emoji":"📊","requires":{"env":["TAVILY_API_KEY"]}}}

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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.

Data Collection with Tavily

Preferred: Use Tavily Search for comprehensive market research:

cd ~/.openclaw/workspace/skills/tavily-search-litiao
Market size and trends
node scripts/search.mjs "[industry] market size growth rate 2024 2025" --deep -n 15
Competitor analysis
node scripts/search.mjs "[competitor name] revenue market share funding" -n 10
Customer insights
node scripts/search.mjs "[target audience] pain points buying behavior" -n 10
Industry reports
node scripts/search.mjs "[industry] report analysis trends forecast" --deep -n 10
Recent news
node scripts/search.mjs "[industry] news developments" --topic news --days 30 -n 15

Tavily advantages for market research:

--deep mode for comprehensive industry reports

Cleaner data extraction from financial sources

Better clustering of competitor information

Time-filtered news for recent market developments

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), Tavily Search (aggregates multiple sources).

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