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res-customer-researchlisted

Customer and user research — interview guides, JTBD framing, evidence-based insight synthesis, and bias controls. Use when user says "customer research", "user research", or needs to understand why users buy, stay, or churn.
meshcode-ai/skills-research · ★ 1 · Code & Development · score 63
Install: claude install-skill meshcode-ai/skills-research
# Customer Research ## Interview design - **Behavior-only questions**: "Walk me through the specific situation when you last solved {problem}." Opinion/hypothesis questions ("Would you want this feature?") are banned — responses are valid only as past behavior, not attitudes. - Format: verify recent behavior → deep dive on one actual case (~20 min) → frustration points → current alternatives (competing product, spreadsheets, memory). - Sampling: 5 people per segment = the pattern-capture threshold. If no common pattern emerges from 5, the segment definition is wrong. ## JTBD framing Translate feature requests ("make the button bigger") into the higher-level job: "what was I trying to finish when this request came up, and when." A request ≠ a need. Treat requests as clues only, and always label your interpretation. ## Bias checklist - Familiarity bias (interviewing people you know) · winner bias (current customers only) · recall bias (memory distortion) · hope bias (leading toward the answer you want) · active-user bias (never talking to churned users) - **Churned-user interviews carry the most information** — aim for at least 3. - Never state internal figures (frequency, conversion rate) as settled fact without cross-validation. ## Output ``` # Customer Research — {segment} (n={count}) ## 3–5 key findings (each: evidence citation | frequency | counterexample) ## JTBD table (situation | definition of done | current alternative) ## Bias limits (who did we not talk to) ## Hy