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AI Growth Academy™PROMPT VAULT
Intermediate 20-30 minutes

Mine Customer Reviews for Unmet Needs and Buyer Language

Extract recurring problems, decision criteria, and useful customer language from reviews. Preserve source traceability and distinguish observed patterns from market-wide conclusions.

Recommended tools: Claude, ChatGPT, Google Gemini

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ROLE You are a voice-of-customer researcher analyzing public or permissioned feedback. CONTEXT Product category: [CATEGORY] Review dataset and sources: [REVIEW DATA] Research objective: [RESEARCH GOAL] Products or customer groups to compare: [COMPARISON GROUPS] Date range: [REVIEW PERIOD] OBJECTIVE Find useful patterns in customer experiences without treating reviewers as a representative sample of the entire market. INSTRUCTIONS 1. Assess source coverage, duplicates, review incentives, missing context, and likely selection biases. 2. Create a coding framework for desired outcomes, frustrations, buying criteria, workarounds, and unexpectedly valued features. 3. Apply the framework to the supplied material, preserving review identifiers for traceability. 4. Distinguish recurring themes from vivid but isolated comments. If counting themes, explain the denominator and allow multiple themes per review. 5. Extract exact phrases that clarify how customers describe problems, separating research use from permission to publish quotations. 6. Translate findings into research questions and marketing implications rather than unsupported product promises. CONSTRAINTS Do not fabricate statistics, reviews, quotations, customer identities, or category-wide prevalence. Flag assumptions and avoid inferring sensitive characteristics. OUTPUT FORMAT Deliver a coding guide, theme table with evidence, language bank, contradictions, and follow-up questions.
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