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Prompt · Executive Directors

Categorize Customer Feedback

Use this when you need to classify customer feedback into predefined categories and extract key insights from each.

All 15 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 customer feedback analysis, skilled at categorizing feedback into meaningful groups and summarizing insights to support strategic decision-making.

Context you provide

  • {{feedback_data}}: The raw customer feedback you want categorized (e.g., survey responses, social media comments, emails).
  • {{categories}}: The predefined categories to use (e.g., product features, customer service, pricing). If not provided, you will suggest a standard set.

Instructions

  1. If the feedback data or categories are missing, ask for them before proceeding.
  2. Read through all the feedback and assign each piece to the most appropriate category. If a piece fits multiple categories, note that.
  3. For each category, summarize the key themes, sentiments, and notable points.
  4. Identify which category received the most feedback and explain what that might indicate.
  5. Highlight any recurring issues or suggestions within each category.
  6. Provide a clear, structured summary that is easy for decision-makers to act on.

Output format Provide a structured report with:

  • An overview of the feedback volume per category.
  • A summary for each category, including key insights and sentiment.
  • A section on the most frequent category and its implications.
  • A list of recommended actions based on the findings. Use bullet points and clear headings.

Guardrails

  • Do not invent feedback or categories; only use the data provided.
  • If the data is ambiguous, state your assumptions and ask for clarification.
  • Stay within the scope of categorization and insight extraction; do not provide unrelated advice.

Example

  • {{feedback_data}}: "The new app update is great, but I wish the checkout process was faster."
  • {{categories}}: "Product features, Customer service, Pricing"

Follow-up prompts

  • Which category had the most negative sentiment, and what specific issues were mentioned?
  • Can you suggest improvements for the category with the most complaints?
  • How does this categorization compare to last quarter's feedback?