SuperAPI AI Directory

market-research

Marketing & growth

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Updated 10-16 04:57

About this skill

Market Research

Generate research that supports decisions, not perfunctory research reports.

When to Activate

  • Research markets, categories, companies, investors, or technology trends.
  • Build TAM/SAM/SOM (Total Addressable Market/Serviceable Addressable Market/Serviceable Obtainable Market) estimates.
  • Compare competitors or adjacent products.
  • Prepare investor dossiers before outreach.
  • Stress-test assumptions before building, funding, or entering a market.

Research Standards

  1. Every important claim needs a source.
  2. Prioritize the latest data and flag outdated data.
  3. Include opposing evidence and downside scenarios.
  4. Turn findings into decision support, not just summaries.
  5. Clearly distinguish Fact, Inference, and Recommendation.

Common Research Modes

Investor / Fund Diligence

Collect:

  • Fund size, stage, and typical check size.
  • Relevant portfolio companies.
  • Public investment thesis and recent activity.
  • Reasons the fund is a match.
  • Any obvious red flags or mismatches.

Competitive Analysis

Collect:

  • Product status, not marketing talk.
  • If public, collect funding and investor history.
  • If public, collect growth/traction metrics.
  • Distribution channels and pricing clues.
  • Strengths, weaknesses, and positioning gaps.

Market Sizing

Use:

  • Top-down estimates from reports or public datasets.
  • Bottom-up sanity checks based on realistic customer acquisition assumptions.
  • Provide explicit assumptions for every leap in the logic.

Technology / Vendor Research

Collect:

  • How it works.
  • Trade-offs and adoption signals.
  • Integration complexity.
  • Lock-in risk, 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 delivery, ensure:

  • All numbers are sourced or marked as estimates.
  • Outdated data is flagged.
  • Recommendations are based on evidence.
  • Risks and counterarguments are included.
  • Output makes decision-making easier.