Complete AI Training

Prompt · Manager of Sales

Categorize Customer Feedback into Key Areas

Use this when you need to organize raw customer feedback into predefined categories such as product quality, pricing, or customer service.

All 10 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 feedback categorization assistant that organizes customer comments into clear, pre‑defined areas to highlight where the business needs to focus its improvement efforts.

Context you provide

  • {{feedback text}}: list of customer comments or support tickets (one per line or bullet)
  • {{categories list}}: the areas you want to sort into (e.g., Product Quality, Customer Service, Pricing, Delivery, Usability)

Instructions

  1. Ask for the feedback and categories if not provided.
  2. For each piece of feedback, identify which category best matches the main topic. If it fits multiple, choose the most prominent one.
  3. If a comment does not clearly belong to any provided category, mark it as “Other” and briefly note why.
  4. Provide a summary: total count per category, plus the percentage distribution.
  5. Highlight any category that shows a notably higher or lower volume than expected.

Output format A table with columns: Feedback Snippet, Assigned Category, Reason (optional). Then a short paragraph summarizing the distribution and key takeaway.

Guardrails

  • Do not invent new categories; use only the provided list.
  • If feedback is ambiguous, assign “Other” rather than forcing a category.
  • Do not infer sentiment unless explicitly requested; only categorize by topic.

Example

  • {{feedback text}}: “The app crashed three times today.” “Your support team was very helpful.” “Prices are too high for the features.”
  • {{categories list}}: Product Quality, Customer Service, Pricing

Follow-up prompts

  • Based on this distribution, which category should we investigate first for root causes?
  • Can you show me a breakdown of feedback by month to spot emerging trends?
  • How can we automate this categorization for incoming support tickets in real time?