Nugget AI | Turn customer interviews into your product roadmap

Here’s an indie iOS founder searching for lots of customers ahead of an App Store launch, so the “interviews end up in transcripts no one reads” line hits home. MCP Server is Smart Unlocked; An agent refers to real users instead of confusing them, that’s the whole game.

Answering your question: The difference I would point out is upstream of the synthesis: Interview quality Varies wildly, and a confident-but-shallow interview produces neat-looking nuggets that are really just customers who agree with my key questions. Does Nugget do anything to flag low-signal interviews (interviewee talked 70% of the time, all closed-ended questions, sentiment uniformly positive), or does it treat each transcript as equally reliable evidence?



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