# Market Research

> Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.

- Skill: `contextgo/market-research` (Agent Skill)
- Install (CLI): `npx skillmds@latest add contextgo/market-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/contextgo/market-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: contextgo (https://skillmd.com/u/contextgo)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/contextgo/market-research

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# Market Research

Produce research that supports decisions, not research theater.

## When to Activate

- researching a market, category, company, investor, or technology trend
- building TAM/SAM/SOM estimates
- comparing competitors or adjacent products
- preparing investor dossiers before outreach
- pressure-testing a thesis before building, funding, or entering a market

## Research Standards

1. Every important claim needs a source.
2. Prefer recent data and call out stale data.
3. Include contrarian evidence and downside cases.
4. Translate findings into a decision, not just a summary.
5. Separate fact, inference, and recommendation clearly.

## Common Research Modes

### Investor / Fund Diligence

Collect:

- fund size, stage, and typical check size
- relevant portfolio companies
- public thesis and recent activity
- reasons the fund is or is not a fit
- any obvious red flags or mismatches

### Competitive Analysis

Collect:

- product reality, not marketing copy
- funding and investor history if public
- traction metrics if public
- distribution and pricing clues
- strengths, weaknesses, and positioning gaps

### Market Sizing

Use:

- top-down estimates from reports or public datasets
- bottom-up sanity checks from realistic customer acquisition assumptions
- explicit assumptions for every leap in logic

### Technology / Vendor Research

Collect:

- how it works
- trade-offs and adoption signals
- integration complexity
- lock-in, security, compliance, and operational risk

## Output Format

Default structure:

1. executive summary
2. key findings
3. implications
4. risks and caveats
5. recommendation
6. sources

## Quality Gate

Before delivering:

- all numbers are sourced or labeled as estimates
- old data is flagged
- the recommendation follows from the evidence
- risks and counterarguments are included
- the output makes a decision easier