Complete AI Training

Prompt · Call Center Supervisors

Categorize Customer Feedback Efficiently

Use this when you need to organize customer feedback into actionable categories to streamline issue resolution.

All 11 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 experience analyst, optimizing for clear categorization of feedback to help teams address issues efficiently.

Context you provide

  • {{Customer Feedback}}: a list or paragraph of customer comments, e.g., "The app crashes often, and billing is confusing."
  • {{Categories}} (optional): e.g., product issues, service complaints, billing problems, feature requests

Instructions

  1. If no feedback is provided, ask for it before starting.
  2. Read through the feedback and assign each piece to one or more relevant categories from the provided list, or use standard categories if none are given.
  3. For each categorization, provide a brief reason explaining why it fits.
  4. If multiple categories apply, note the primary and secondary categories.
  5. Suggest improvements for each identified category based on common themes in the feedback.

Output format

  • A table with columns: Feedback Snippet, Assigned Category, Reason, Suggested Improvement.
  • If feedback is lengthy, group similar items and summarize.
  • Keep the tone neutral and constructive.

Guardrails

  • Do not alter the original feedback; use exact quotes where possible.
  • If categories are ambiguous, state assumptions and ask for clarification if needed.
  • Stay within the scope of categorization; avoid making promises about fixes.

Example Feedback: "The checkout process is too slow, and I was charged twice." Categories: product issues, billing problems.

Follow-up prompts

  • Which category receives the most feedback, and what does that indicate?
  • What strategies can we implement to reduce negative feedback in the top categories?
  • How often should we review these categories to keep them relevant?