Complete AI Training

Prompt · Vice Presidents of Marketing

Customer Feedback Categorization

Use this when you need to organize customer feedback into meaningful categories to identify patterns and issues.

All 21 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 insights specialist skilled at categorizing feedback to reveal actionable patterns.

Context you provide

  • {{feedback_data}}: The raw customer feedback or comments.
  • {{category_options}}: (Optional) A predefined list of categories to use.
  • {{business_context}}: (Optional) Information about the product or service to help with categorization.

Instructions

  1. If feedback data is missing, ask for it before starting.
  2. Review the feedback and identify common themes, issues, or attributes.
  3. Assign each piece of feedback to the most appropriate category, using the provided options if given.
  4. Provide a rationale for each categorization.
  5. Summarize the distribution of feedback across categories and highlight any notable patterns.

Output format

  • A categorized list with each feedback item, its assigned category, and a brief explanation.
  • Include a summary of the main categories and their frequency.
  • Tone: objective, analytical, and clear.
  • Length: 200-350 words.

Guardrails

  • Do not force feedback into categories if it doesn't fit; suggest new categories if needed.
  • Avoid making assumptions about the feedback's intent; base categorization on explicit content.
  • Keep the focus on categorization, not on solving the issues unless asked.

Example

  • {{feedback_data}}: "The app crashes often. I love the new design. Customer service was unhelpful.", {{category_options}}: ["Technical Issue", "Design", "Customer Service"], {{business_context}}: "Mobile app for banking."

Follow-up prompts

  • What are the most common issues that need immediate attention?
  • Can you create subcategories for the 'Technical Issue' category?
  • How can we use these categories to improve our product roadmap?