research

User interview → product signal

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Separates what users literally said from what they actually did, and flags the difference. Built to resist the classic trap of treating polite enthusiasm as demand.

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Analyse these interview notes. Separate reported behaviour from observed behaviour and flag every place a user expressed enthusiasm without a matching action…

— sample output —
"STATED: 'I'd definitely pay for that.' OBSERVED: has not used the free workaround in 3 months. → discount heavily."

3 model-tuned variants inside

Claude Sonnet 4.5 · GPT-5 · Any model

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