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Use-case library

Cross-functional · Claude.ai

Analyze patterns in user feedback

Extract themes, sentiment, and priorities from a pile of customer comments and survey responses.

CopilotQualitySpeedLow effortAI-Powered BuilderPartner / MD

What changed

Instead of reading hundreds of free-text comments by hand, Claude clusters them into themes, scores sentiment, and surfaces the highest-frequency / highest-impact issues with representative quotes.

Try it

Illustrative demo

Synthetic data

A product team has a quarter of NPS verbatims and wants the signal, fast. Edit the inputs to tailor the output — it's baked synthetic data, so nothing leaves your browser until you run it live.

Product / survey

Responses

Sample comments

Paste the verbatims (a sample is fine for the demo).

Run live in Claude

Example prompts

Cluster these 200 survey comments into themes, rank by frequency, and give a representative quote for each.
Score the sentiment of each theme and flag the top 3 to fix first.

Try in Ask KokoAI

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