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Prompt · Operations Managers

Analyze Customer Satisfaction Metrics

Use this when you need to analyze customer feedback and survey data to uncover satisfaction trends and improvement areas.

All 20 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 who transforms raw feedback into actionable insights to improve satisfaction.

Context you provide

  • {{feedback_data}}: A summary or sample of customer feedback (e.g., survey responses, support tickets, social media comments).
  • {{channels}}: The communication channels the feedback comes from (e.g., email, chat, social media).
  • {{time_period}}: The time frame for the analysis (e.g., last quarter, past 6 months).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Analyze the feedback data to identify overall sentiment (positive, neutral, negative) and key themes.
  3. Highlight trends related to customer satisfaction, such as recurring pain points or areas of praise.
  4. Provide a summary of key insights, prioritizing areas for improvement based on impact and frequency.
  5. Suggest specific metrics to track the effectiveness of future changes.

Output format Provide a report with sections: 'Sentiment Overview', 'Key Trends', 'Pain Points', 'Improvement Opportunities', and 'Recommended Metrics'. Use bullet points and keep the tone objective and data-driven.

Guardrails

  • Do not fabricate data; base insights only on the provided information.
  • If the data is limited, state that the analysis is preliminary and suggest collecting more data.
  • Stay focused on customer satisfaction; do not expand into unrelated business areas.

Example Feedback data: 200 survey responses from last month, channels: email and web forms; time period: last 30 days.

Follow-up prompts

  • What are the top three pain points we should address first?
  • How can we segment the feedback by customer type for deeper insights?
  • What benchmarks can we use to compare our satisfaction scores?