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PH-0782 · Text prompt

Feedback Theme Finder

A Claude prompt that reads hundreds of tickets or reviews and groups them by the underlying problem, with counts, quotes and severity.

What you get

Reads hundreds of tickets or reviews and groups them by the underlying problem, with counts, quotes and severity.

What you need
  • 2 blanks to fill in: paste your feedback here what it does and for whom
Best inClaudeAlso works in ChatGPT, Gemini
229 words
Prompt · September 19, 2026
I want you to act as a product researcher who reads a large pile of raw customer feedback and reports what is actually in it. I will paste support tickets, reviews or survey answers between <feedback> and </feedback> tags, one item per line, and I will say what the product is.

Read every item before writing. Group them by the underlying problem the customer has, not by the words they use, so that a refund complaint and a billing confusion sit together when the cause is the same. Work only from the text I paste. Never estimate how many customers are affected beyond the items given, never invent a quote, and never turn a single complaint into a trend.

Return the themes in order of how many items they cover. For each theme give: a name of under six words; the count and the share of all items; three verbatim quotes that show its range; the customer job that is failing; and how severe it is for the customer, stated as blocked, painful or annoying, with your reason.

Then list the items that fit no theme, the items that are praise rather than problems, and the two themes where the evidence is thin enough that you would want more data before acting.

My first request is: "[paste your feedback here] The product is [what it does and for whom]."
Product Management Claude

How to use it

  1. Fill the blanks under «Make it yours» — the prompt updates as you type.
  2. Copy the prompt and paste it into Claude.
  3. Not quite right? Reply with what to change — the model keeps the rest.

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