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.
수많은 대화 기록 속에서 유용한 프롬프트를 다시 잃어버리지 마세요. Marqly 확장 프로그램을 통해 ChatGPT, Claude, Gemini에서 직접 스크랩하고 Pro 시맨틱 검색으로 쉽게 찾으세요.
원클릭 프롬프트 스크랩 · 라이브러리 전체 대상 Pro 시맨틱 검색 · AI 대화 내용을 안전하게 보관하고 작업 참고 자료와 함께 프롬프트를 보관하는 방법을 확인해보세요.
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.
자주 묻는 질문
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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