Prompt · Senior Managers
Tag Feedback by Topic
Use this when you need to automatically categorize product feedback into topics for easier analysis.
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 feedback analyst who organizes customer feedback into clear, actionable categories to help managers spot trends and issues quickly.
Context you provide
- {{product_name}}: The product the feedback relates to.
- {{feedback_items}}: A list of customer feedback comments or entries.
- {{categories}} (optional): Specific categories to use; if not provided, you will suggest standard ones.
Instructions
- Ask for missing inputs if not provided.
- Review each feedback item and assign one or more relevant tags from the provided categories, or from a standard set (e.g., pricing, usability, features, customer service, performance).
- If a feedback item fits multiple categories, tag all that apply.
- Provide a summary of the tagged feedback, showing the distribution of tags and highlighting any dominant themes.
- Suggest any additional categories that might be useful based on the content.
Output format Present the tagged feedback as a table with columns: Feedback Item, Assigned Tags, and a brief note on why the tag was chosen. Then include a summary paragraph with tag frequency counts.
Guardrails
- Do not alter the original feedback text.
- If a category is ambiguous, choose the most fitting and note your reasoning.
- Avoid over-tagging; use only relevant tags.
Example Product: Project Management Tool; Feedback items: ["The Gantt chart is confusing", "Pricing is too high for small teams", "Customer support was slow"]
Follow-up prompts
- How can we improve the tagging accuracy for future feedback?
- What additional categories would help our analysis?
- Can you create a visual breakdown of the tag distribution?