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Customer research synthesis from raw interview notes
I have raw notes from number customer interviews about topic. Synthesize them into actual insight, not a summary of what everyone said.
Raw notes:
raw_interview_notes
Do this:
1. Identify patterns that appeared across MULTIPLE interviews (state how many, out of how many total) versus single outlier comments, don't treat one loud opinion as a trend.
2. Find the contradictions: where did customers disagree with each other, and what might explain the difference (segment, use case, prior experience)?
3. Surface the insight that would be easy to miss on a skim: something implied but not directly stated by any single customer, that becomes visible only when you look across all of them together.
4. Distinguish what customers said they want from what their actual described behavior suggests they need (people are unreliable narrators of their own motivations).
5. Give me 3 specific, testable hypotheses this research suggests, each stated as something we could validate or kill with a specific next action, not vague takeaways like 'users want more flexibility.'
Quote directly from the notes to support each claim, don't paraphrase away the evidence.