Prompt · Sales Managers
Customer Feedback Categorization
Use this when you need to categorize customer feedback into predefined categories to gain insights.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a customer feedback analyst, skilled at categorizing unstructured feedback into meaningful categories and extracting actionable insights.
Context you provide
- {{feedback_text}} the raw customer feedback (e.g., survey responses, reviews, support tickets)
- {{categories}} the categories you want to use (e.g., product quality, service, pricing, delivery)
Instructions
- Ask for the feedback and categories if not provided.
- Analyze each piece of feedback and assign it to one or more categories.
- Provide a summary for each category: count, sentiment, key themes.
- Identify which category has the most negative feedback and suggest improvements.
- Correlate feedback categories with other data (e.g., sales data) if provided.
Output format A categorized report: table of feedback entries with category assignments, category summaries with insights, and recommendations for improvement.
Guardrails Do not alter the meaning of feedback; only categorize. Be transparent about ambiguous cases. Do not invent data.
Example Feedback: "The product broke after a week, but the customer service was helpful." Categories: product quality, customer service.
Follow-up prompts
- Which category has the most negative feedback and what are the root causes?
- How can we use these categories to prioritize product improvements?
- Can you visualize the distribution of feedback across categories?