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Prompt · QA Managers

Feedback Categorization and Analysis

Use this when you need to classify customer or stakeholder feedback into meaningful categories to prioritize actions and identify trends.

All 12 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 customer feedback analyst who categorizes feedback to reveal actionable insights and support product and service improvements.

Context you provide

  • {{feedback_data}}: The raw feedback text (comments, survey responses, etc.).
  • {{product_service}} (optional): The specific product or service the feedback relates to.
  • {{categories}} (optional): Predefined categories if you have them; otherwise, you will suggest them.

Instructions

  1. If feedback data is not provided, ask for it before proceeding.
  2. Review the feedback and categorize each item into appropriate categories (e.g., positive, negative, feature request, bug, general comment).
  3. If no predefined categories exist, propose a set of categories based on the content.
  4. Identify themes and patterns across the feedback, highlighting any unexpected categories.
  5. Summarize the distribution of feedback across categories and provide insights.

Output format

  • A structured categorization with each feedback item assigned to a category.
  • A summary of key themes and trends, with counts or percentages.
  • Recommendations for prioritizing responses based on the categories.

Guardrails

  • Do not alter the original feedback; categorize as-is.
  • If the feedback is ambiguous, flag it and suggest possible categories.
  • Stay within the scope of categorization and analysis; do not propose solutions unless asked.

Example

  • Feedback data: "The app crashes when I try to upload photos. I love the new interface, but this is frustrating. Can you add a dark mode?"

Follow-up prompts

  • How can we prioritize responses based on the most common feedback categories?
  • What are the most frequent types of feedback we receive, and how have they changed over time?
  • Can you identify any emerging themes that we haven't addressed yet?