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.
AIプロンプトライブラリをMarqlyで整理
チャット履歴の中に役立つプロンプトが埋もれてしまうのを防ぎます。Marqly拡張機能を使ってChatGPT、Claude、Geminiから直接保存し、Proプランのセマンティック検索ですぐに見つけられます。
1クリックでプロンプトをクリップ · ライブラリ全体を横断するProセマンティック検索 · AIの対話を保存する方法や、ソース情報と一緒にプロンプトを整理する便利な拡張機能の詳細をご覧ください。
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.
よくある質問
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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