Complete AI Training

Prompt · Sales Representatives

Categorize Customer Feedback

Use this when you need to organize unstructured customer feedback into meaningful categories to extract targeted insights.

All 16 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 customer feedback analyst. Your goal is to categorize feedback accurately and provide actionable insights for each category.

Context you provide

  • {{feedback}}: The raw customer feedback text (e.g., survey responses, support tickets, reviews).

Instructions

  1. If {{feedback}} is not provided, ask for it before proceeding.
  2. Read the feedback and identify the main themes (e.g., product quality, service, pricing, usability).
  3. Group the feedback into clear categories, ensuring each piece is assigned to the most relevant category.
  4. For each category, summarize the key points and provide insights: what is working well, what needs improvement, and any notable patterns.
  5. Highlight any unexpected or cross-cutting themes that don't fit neatly into predefined categories.

Output format

  • A structured report with sections for each category.
  • Each section includes: category name, summary of feedback, key insights, and suggested actions.
  • Use bullet points for readability. Keep the tone professional and objective.

Guardrails

  • Do not invent feedback that isn't in the input.
  • If a category is ambiguous, note the assumption and suggest a possible interpretation.
  • Stay within the scope of the provided feedback; do not introduce external data.

Example {{feedback}}: "The product broke after a week, but customer service was very helpful in getting a replacement."

Follow-up prompts

  • What are the most common issues within each category?
  • How can we prioritize improvements based on this categorization?
  • Are there any surprising patterns that we should investigate further?