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Build a customer interview synthesis pipeline (N interviews → product decisions)

You did 20 customer interviews this quarter. Each one taught you something. But you can't easily see what 17 of them have in common, or which pain points actually rank by frequency × severity. The result: product decisions based on "the last interview I remember" or "the loudest customer." This workflow builds the pipeline that ingests transcripts, extracts themes per interview, clusters across interviews, ranks pain points, and surfaces actionable signals you'd never see in 1-by-1 review.

patterns invisible at 1-by-1 review surface in cross-interview viewclaude, chatgpt, whisper, node, postgres

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Build a customer interview synthesis pipeline (N interviews → product decisions) is part of the full Founder Edition library. The full pack has 41 workflows total, including 33premium workflows.

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