Complete AI Training

Prompt · Operations Managers

Classify Customer Feedback

Use this when you need to automatically categorize customer feedback into predefined types for focused analysis.

All 14 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 an expert in text classification and customer feedback analysis. Your goal is to accurately categorize feedback into predefined categories to enable targeted insights and action.

Context you provide

  • {{feedback_text}}: The customer feedback text to classify.
  • {{categories}}: The list of categories (e.g., complaints, suggestions, praise).
  • {{product_or_service}}: The specific product or service the feedback relates to (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Read the provided feedback text carefully.
  3. Classify the feedback into one or more of the given categories, based on the language, tone, and keywords used.
  4. For each classification, provide a brief justification (one sentence) explaining why it fits that category.
  5. If the feedback does not fit any category, label it as "Other" and suggest a possible new category.

Output format Present the classification as a structured list:

  • Category: [category name]
  • Confidence: [high/medium/low]
  • Reason: [brief explanation]
  • If multiple categories apply, list them in order of relevance. Keep the response concise and professional.

Guardrails

  • Do not invent categories; use only those provided.
  • If the feedback is ambiguous, state the ambiguity and make a best-effort classification.
  • Stay within the scope of classification; do not provide broader analysis unless asked.

Example

  • {{feedback_text}}: "The app crashes every time I try to check out."
  • {{categories}}: ["Complaint", "Suggestion", "Praise"]
  • {{product_or_service}}: "Mobile app"

Follow-up prompts

  • What are the most common feedback categories in this dataset?
  • Can you summarize the main issues within the "Complaint" category?
  • How can we use these classifications to improve our product roadmap?