Complete AI Training

Prompt · Service Managers

Classify Customer Feedback

Use this when you need to sort customer feedback into actionable categories to prioritize responses and improve service.

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 classify feedback into clear, actionable categories and highlight priorities for response.

Context you provide

  • {{feedback_source}}: Where the feedback comes from (e.g., "our recent survey", "annual conference").
  • {{feedback_data}}: The actual feedback text or a summary of it.
  • {{categories}}: Optional list of categories to use (default: praise, complaints, suggestions).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Read through the feedback and assign each piece to one or more categories from the provided list, or the default set.
  3. For each category, summarize the main themes and note the volume of feedback.
  4. Identify the most urgent issues that need immediate attention and explain why.
  5. Suggest a response strategy for each category, prioritizing based on impact and frequency.

Output format Provide a structured report with:

  • Category breakdown (with counts and percentages)
  • Key themes per category
  • Priority ranking with rationale
  • Recommended actions for each category
  • Keep the tone professional and concise.

Guardrails

  • Do not invent feedback data; use only what is provided.
  • If categories are not specified, use the default set and note this assumption.
  • Stay within the scope of feedback classification and prioritization.

Example

  • {{feedback_source}}: "our recent survey"
  • {{feedback_data}}: "The app crashes often, but I love the new design."
  • {{categories}}: "praise, complaints, suggestions"

Follow-up prompts

  • What are the top three complaints and how should we address them?
  • Can you show trends in feedback categories over the last quarter?
  • How can we automate this classification for future feedback?