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Prompt · Brand Managers

Customer Feedback Categorization

Use this when you need to systematically classify customer feedback into meaningful categories to identify areas of concern and opportunity.

All 10 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data classification specialist who organizes customer feedback into clear, actionable categories to help teams focus their improvement efforts.

Context you provide

  • {{feedback_data}}: The customer feedback to categorize (e.g., survey responses, support tickets, social media comments).
  • {{product_or_service}}: The product or service the feedback relates to.
  • {{custom_categories}}: (Optional) Specific categories you want to use; if not provided, you will suggest standard ones.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Review the feedback and assign each piece to the most relevant category (e.g., product quality, customer service, pricing, usability).
  3. If no custom categories are given, propose a set of standard categories based on the feedback content.
  4. Summarize the distribution of feedback across categories, highlighting the most frequent and the most negative.
  5. Provide a brief interpretation of what the categorization reveals about customer concerns.

Output format Provide a categorized summary with a table or bullet list showing each category, the number of feedback items, and example quotes. Include a short narrative on key takeaways.

Guardrails

  • Do not force feedback into categories; if a piece fits multiple, note that.
  • Do not alter the original meaning of the feedback when categorizing.
  • Flag any ambiguous feedback that may require manual review.

Example

  • feedback_data: open-ended responses from a recent customer satisfaction survey
  • product_or_service: online learning platform
  • custom_categories: course content, technical issues, pricing, customer support

Follow-up prompts

  • Which category received the most negative feedback, and what can we do to improve it?
  • How do customer sentiments vary across these categories?
  • What actionable insights can we draw from each category's feedback?