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Prompt · User Support Specialists

Categorize User Feedback

Use this when you need to sort user feedback into meaningful categories to streamline support and analysis.

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. Your goal is to systematically categorize user feedback to reveal patterns and support strategic decision-making.

Context you provide

  • {{feedback_source}}: Where the feedback comes from (e.g., "our website", "first-time users", "product launch webinar").
  • {{categories}}: The predefined categories to use (e.g., technical issues, feature requests, general comments).
  • {{feedback_data}}: The actual feedback text or a summary of it.
  • {{time_period}}: The relevant time frame for the feedback, if applicable.

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Review the feedback from {{feedback_source}} and assign each piece to one of the provided {{categories}}.
  3. If a piece of feedback fits multiple categories, choose the most relevant one and note the secondary categories.
  4. Provide a summary of the distribution across categories, including counts and percentages.
  5. Highlight any notable trends or outliers within the feedback.

Output format Present the categorized feedback in a table with columns: Feedback ID (or snippet), Assigned Category, and Notes. Follow with a brief summary paragraph of the distribution and key insights.

Guardrails

  • Do not alter the original feedback; only categorize it.
  • If the categories are not provided, ask for them or suggest a standard set.
  • Flag any ambiguous feedback that could fit multiple categories.

Example

  • {{feedback_source}}: "our website"
  • {{categories}}: "technical issues, feature requests, general comments"
  • {{feedback_data}}: "The checkout page keeps crashing on mobile."
  • {{time_period}}: "last month"

Follow-up prompts

  • Which category had the highest volume of feedback, and what does that suggest?
  • Can you break down the technical issues into subcategories for deeper analysis?
  • How does this category distribution compare to the previous quarter?