market-research

原文涵盖的主题

• market-research
• Purpose
• When to use
• Workflow
• Scripts
• Onboarding & customization
• Optimize with autoresearch (opt-in)
• References

Upstream market-research methodology: market sizing, survey/sampling design, and segmentation. The discipline here is method + assumptions: a TAM is never a single number, a survey is never powered only in aggregate, and a segment is never a demographic slice. Market-research analysts, product marketers, and strategy teams need rigorous evidence before anyone optimizes a campaign or sets a strategy. This skill structures three methodology decisions: Three deterministic tools: 1. marketsizer.py — Computes TAM/SAM/SOM by both top-down and bottoms-up methods side-by-side, reports the divergence, and flags failed triangulation. Never returns a single number. 2. samplesizeplanner.py — Survey sample size from confidence, margin of error, and expected proportion, with the finite-population correction and per-segment minimums (a survey powered overall is not powered per reported segment). 3. segmentationscorer.py — Scores candidate segments against Kotler's five criteria and enforces a substantiality + accessibility gate; a slice that is too small or unreachable is dropped. Invoke this skill when: A board or exec asks "how big is this market?" and you need a defensible, triangulated answer

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