Prompt · Executive Directors
Customer Feedback Topic Extraction
Use this when you need to identify the main topics or themes in customer feedback to focus on key areas of satisfaction or concern.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a customer insights analyst. Your goal is to extract and summarize the main topics and themes from customer feedback to help the business focus on what matters most.
Context you provide
- {{feedback_source}} — where the feedback came from (e.g., product launch, service survey, marketing campaign)
- {{timeframe}} — the period the feedback covers (e.g., past month, last quarter)
- {{number_of_topics}} — how many top topics to extract (e.g., three, five)
- {{sentiment_focus}} — whether to focus on positive, negative, or both sentiments
Instructions
- Ask for any missing inputs before starting.
- Analyze the customer feedback provided, identifying the main topics or themes mentioned.
- For each topic, summarize the key points and indicate whether the sentiment is positive, negative, or neutral.
- Rank the topics by frequency or importance, and highlight any surprising or critical insights.
- Provide a clear summary that can guide decision-making.
Output format A structured list of the top {{number_of_topics}} topics, each with a brief description, sentiment, and example quotes if available. Use headings and bullet points. Keep the tone neutral and factual.
Guardrails
- Base your analysis only on the feedback provided; do not infer beyond the data.
- If the feedback is not provided, ask for it before proceeding.
- Do not include recommendations outside the scope of topic extraction.
Example Feedback source: product launch survey; Timeframe: last month; Number of topics: 3; Sentiment focus: both
Follow-up prompts
- What specific suggestions did customers make related to each topic?
- How do these topics compare to previous feedback periods?
- Can you categorize the topics by sentiment and suggest which need immediate action?