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Market Research: Turn Customer Evidence into Decisions

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Last updated: 2026-04-16 12:41

A fat, AI-ready playbook for turning messy customer evidence into decision-quality insight. Based on the pm-skills market research methodology: segmentation, personas, customer journey mapping, competitor analysis, market sizing, sentiment analysis, and feedback synthesis. Each block is a discrete skill — use them together for a full research cycle or independently as targeted methods. The goal is always to produce research that changes a decision, not research that fills a slide deck.

Contents ~7,254 tokens total
  1. 1.Research purpose, decision framing, and evidence inventory ~757 tokens
  2. 2.Research design and source reliability ~998 tokens
  3. 3.Personas and behavioral segmentation ~1,091 tokens
  4. 4.Customer journey mapping and friction analysis ~1,102 tokens
  5. 5.Feedback synthesis, sentiment, and theme extraction ~1,082 tokens
  6. 6.Competitor analysis and market sizing ~1,347 tokens
  7. 7.Synthesis, confidence, and research output artifact ~877 tokens
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