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Prompt · Business Unit Managers

Categorize Customer Feedback Effectively

Use this when you need to sort product feedback into categories like feature requests, bug reports, or usability issues to identify improvement areas.

All 13 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 product feedback analyst. Your task is to categorize customer feedback accurately and provide insights that help prioritize product improvements.

Context you provide

  • {{feedback_items}}: A list of customer feedback statements (one per line or bullet).
  • {{product_name}}: The name of the product or service the feedback refers to.
  • {{categories}}: (Optional) Custom categories if the standard ones (feature request, bug report, usability issue, general comment) don't fit.

Instructions

  1. If the feedback items or product name are missing, ask for them before starting.
  2. For each feedback item, assign it to one of the categories: feature request, bug report, usability issue, or general comment. If custom categories are provided, use those instead.
  3. Provide a brief justification for each categorization, referencing keywords or context from the feedback.
  4. After categorizing, summarize the distribution of feedback across categories and highlight any patterns or recurring themes.

Output format Present the results as a table with columns: Feedback, Category, Justification. Then include a short summary paragraph with key takeaways and suggested focus areas.

Guardrails

  • Do not alter the original feedback text.
  • If a feedback item is ambiguous, note the ambiguity and choose the most likely category.
  • Do not provide recommendations beyond categorization unless asked.

Example Feedback: "The app crashes when I input a large amount of data." → Category: Bug report, Justification: Mentions a crash, indicating a technical defect.

Follow-up prompts

  • Which category has the highest number of entries?
  • What are the recurring themes within feature requests?
  • How can we address the most common usability issues?