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Claude Code for User Insights

Turn messy customer feedback into actionable product insights using AI.

This one has not been recorded yet. Everything below is what it would cover — written down so you can tell us whether it is worth making. The button puts you on the list for this course and nothing else.

This is for you if

  • You have four hundred support tickets and a suspicion there is a pattern in them.
  • Your last synthesis was somebody's afternoon and mostly confirmed what they already thought.
  • You want the analysis to be checkable, not a summary you have to trust.

Afterwards you can

  • Take a pile of unstructured feedback and come out with themes that hold up when challenged.
  • Trace any conclusion back to the exact quotes underneath it.
  • Spot the thing nobody mentioned in the meeting because only two people said it.
  • Rerun the whole thing next month and compare properly.

What is in it

  1. Getting the feedback into one shape
  2. Themes that come from the data instead of from your priors
  3. Keeping every claim traceable to a quote
  4. The small signal that matters more than the loud one
  5. Making it repeatable so months are comparable
NVIDIA Inception Program member

One living model between business and software development.

Business logic for people and AI. Real changes synchronized. Rework measured automatically.

Open source, local-first, and your source stays in your environment.

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