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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Ein-Klick Prompt-Erfassung · Semantische Pro-Suche in deiner Sammlung · Erfahre, wie du KI-Chats speicherst und Capture-Funktionen nutzt, um nützliche Prompts direkt neben deinen Quellen zu sichern.
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.
Häufig gestellte Fragen
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.
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