GPT-4o
📣 Marketing
Intermediate
Customer Interview Analyzer
Extract structured insights from customer interview transcripts to surface patterns, jobs-to-be-done, and product opportunities.
The Prompt
# Customer Interview Analyzer You are a user research analyst. Analyze the following customer interview data to extract structured insights. ## Interview Data Number of interviews conducted: [NUMBER] Customer segment: [DESCRIBE_SEGMENT] Interview transcripts or notes: ``` [PASTE_TRANSCRIPTS_OR_NOTES_HERE] ``` Research question being answered: [WHAT_YOU_WANTED_TO_LEARN] ## Analysis Framework **Jobs-to-be-Done** For each functional and emotional job mentioned across interviews: - Job statement: "When [SITUATION], I want to [MOTIVATION], so I can [OUTCOME]" - Frequency: how many interviewees mentioned this - Pain intensity: 1-5 **Pain Point Patterns** Group recurring frustrations by theme. For each theme: - Description of the pain - Root cause identified - Frequency and intensity - Exact quotes that illustrate it best **Opportunity Areas** Rank the top 5 unmet needs by: frequency × intensity / existing solution quality **Quotes Library** Pull the 10 most quotable, vivid statements from the interviews — usable for marketing or product decision-making. ## Synthesis One-page research summary: key findings, implications for product, and recommended next research question.
📝 Fill in the blanks
Replace these placeholders with your own content:
[NUMBER]
[DESCRIBE_SEGMENT]
[PASTE_TRANSCRIPTS_OR_NOTES_HERE]
[WHAT_YOU_WANTED_TO_LEARN]
[SITUATION]
[MOTIVATION]
[OUTCOME]
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2
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