Market Research

Tell the Market Research skill what decision you need to make: enter a market, validate a product, size an opportunity, compare a segment, or assess expansion. Pick Quick Scan, Decision Memo, Launch Validation, or Expansion Study so the market research agent matches depth to risk.

Read the output as a decision memo: market size, competitor map, customer segments, source grades, confidence levels, and recommendation. Use the uncertainty notes to decide whether to proceed, pause, narrow the segment, or run follow-up research.

• You are comparing market research skills and need a Claude-ready workflow for opportunity sizing, launch validation, or expansion research.
• You want a market research agent skill that can structure ambiguous questions, gather evidence, grade source quality, and explain the assumptions behind each conclusion.
• You need TAM, SAM, and SOM estimates with formulas, segment filters, and confidence levels for a pitch deck, product strategy memo, or investment screen.
• You are mapping competitors, substitutes, customer workarounds, and underserved segments before positioning a product or entering a new niche.

• You need final pricing architecture rather than market evidence. Use a pricing skill after Market Research validates willingness-to-pay signals.
• You already have a shortlist and only need a side-by-side option comparison. Use a comparison skill for that narrower decision.
• You need SEO keyword planning or content positioning. Use an SEO skill after market demand has been validated.
• You need guaranteed real-time data from paid research databases that are not available to your Claude or OpenClaw environment.

The skill separates broad category demand, reachable serviceable demand, and realistic winnable share. Each layer includes formulas, assumptions, sources, and confidence notes so you can use the output in strategy reviews, investor materials, or launch decisions without hiding uncertainty.

Market claims are checked against multiple evidence families, including market structure data, behavioral signals, public filings, job posts, reviews, search patterns, interviews, waitlists, and prepayment signals. Weak signals are labeled as weak instead of being treated like proof.

The workflow covers direct rivals, indirect substitutes, status-quo workarounds, agencies, spreadsheets, internal tools, and likely future entrants. That makes the output useful for positioning, differentiation, and whitespace analysis rather than a shallow logo grid.

Quick Scan, Decision Memo, Launch Validation, and Expansion Study modes let you match depth to risk. A small idea can get a fast scan, while a board-level decision can get a full market research agent workflow with assumptions, evidence quality, and recommendation logic.

Every deliverable closes with what the evidence supports, what remains uncertain, what would change the conclusion, and what to do next. The skill is built for enter-or-avoid, build-or-wait, prioritize-or-pass decisions.

Market size and demand are split by customer type, company size, geography, urgency, budget, buying process, and existing alternatives. This prevents enterprise, SMB, consumer, and regional behavior from being averaged into one misleading number.

A founder can use Launch Validation mode to test a product idea against real demand signals, painful workarounds, buying urgency, and willingness to pay before committing engineering time.

An operator or investor can generate layered TAM, SAM, and SOM logic with transparent assumptions and confidence levels, replacing vague analyst citations with a defensible sizing narrative.

A product or marketing team can map direct competitors, indirect substitutes, review patterns, and status-quo workarounds to find whitespace and sharpen positioning.

A team considering a new region, vertical, or adjacent category can evaluate local competitors, reachable SAM filters, channel constraints, and rollout risks before committing budget.