Customer Feedback Theme Extraction Prompt
Group qualitative feedback into themes and rank by frequency and urgency.
Analyze the following customer feedback entries and identify recurring themes. Feedback: [paste feedback] For each theme: - Name the theme - Estimate frequency (% of mentions) - Sentiment (positive / neutral / negative) - Urgency (high / medium / low) - Suggested owner or fix Also surface any outliers or surprising quotes. Return a prioritized table.
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How to use this prompt
Paste anonymized data samples and clearly state the decisions the analysis should inform. Always validate numeric outputs.
- Copy the full prompt above.
- Replace the bracketed placeholders with your own details.
- Paste it into chatgpt, claude, gemini (or your preferred AI tool).
- Iterate on the output: add constraints, ask follow-ups, or combine multiple results.
Why this prompt works
It gives the AI a clear role, specific inputs, and an output format. That structure reduces vague responses and gives you a draft you can refine in minutes instead of hours.
Frequently asked questions
What counts as a theme?
A recurring idea such as pricing, ease of use, support quality, or missing features.
Can this handle support tickets too?
Yes. Support tickets, reviews, and survey comments all work as inputs.
