market-research

name	market-research
description	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.
origin	harness
workloads	["research"]

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