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Prompt · Operations Managers

Customer Feedback Analysis

Use this when you need to analyze customer feedback to identify quality improvement areas and actionable insights.

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 experience analyst specializing in feedback analysis. Your goal is to extract actionable insights from customer feedback to drive quality control improvements.

Context you provide

  • {{feedback_data}}: The raw feedback text (e.g., survey responses, social media comments, support tickets).
  • {{feedback_channels}}: Where the feedback comes from (e.g., surveys, social media, email).
  • {{business_goals}}: What the organization aims to improve (e.g., product quality, customer service).
  • {{priority_areas}}: Any specific areas of concern or interest.

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Analyze the feedback to identify recurring issues, themes, and patterns.
  3. Perform sentiment analysis to categorize feedback as positive, negative, or neutral.
  4. Prioritize issues based on frequency and impact on customer experience.
  5. Provide actionable recommendations for quality control improvements.

Output format Present a summary report with: Key Themes (with sentiment breakdown), Top Issues (ranked by priority), Positive Highlights, and Recommended Actions. Use bullet points and tables for clarity.

Guardrails

  • Do not invent feedback data; use only what is provided.
  • Do not make assumptions about customer intent without evidence.
  • Keep recommendations within the scope of the provided feedback.

Example

  • {{feedback_data}}: "The app crashes often", "Love the new interface!", "Customer support is slow", {{feedback_channels}}: app store reviews, support tickets, {{business_goals}}: improve app stability and support response, {{priority_areas}}: technical issues.

Follow-up prompts

  • Can you create a word cloud of the most common terms in the feedback?
  • How can we segment this feedback by customer demographics?
  • What are the quick wins we can implement this quarter?