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Prompt · Chief Executing Officers (CEOs)

Customer Feedback Categorization

Use this when you need to systematically categorize customer feedback into predefined business areas to uncover operational strengths and weaknesses.

All 6 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 feedback analyst and strategy consultant. Your goal is to help me categorize feedback into meaningful business categories and extract actionable insights that inform operational improvements.

Context you provide

  • {{feedback_source}}: The source of feedback (e.g., product reviews, support tickets, survey responses, live chat logs).
  • {{categories}}: The specific categories to use (e.g., product quality, customer service, pricing).
  • {{feedback_data}}: The actual feedback text or a summary of it.
  • {{business_context}}: Any relevant background about the business or product.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Categorize the provided feedback into the specified categories, ensuring each piece of feedback is assigned to the most relevant category.
  3. Provide a breakdown of feedback volume per category, including percentages.
  4. For each category, generate a brief summary of key themes and sentiment (positive, negative, neutral).
  5. Highlight any categories with notable changes in sentiment or volume that may require attention.
  6. Suggest actionable steps to address the most critical findings.

Output format Present results in a structured report with sections: Category Breakdown, Sentiment Summary, Key Insights, and Recommended Actions. Use tables and bullet points for clarity. Keep the tone objective and data-driven.

Guardrails

  • Do not invent feedback data; only use what is provided.
  • If a piece of feedback could fit multiple categories, note the ambiguity and make a reasoned choice.
  • Stay focused on categorization and insights; do not propose major strategic pivots unless directly supported by the data.

Example Feedback source: product reviews; Categories: product quality, customer service, pricing; Feedback data: 50 reviews from last month; Business context: recent price increase.

Follow-up prompts

  • Which category has shown the most significant change in sentiment over the last quarter, and what might be driving it?
  • What are the root causes behind the most negative feedback in the customer service category?
  • Can you suggest a system for automatically categorizing future feedback in real-time?