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.
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 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
- If any inputs are missing, ask for them before starting.
- Analyze the feedback data to identify overall sentiment (positive, neutral, negative) and key themes.
- Highlight trends related to customer satisfaction, such as recurring pain points or areas of praise.
- Provide a summary of key insights, prioritizing areas for improvement based on impact and frequency.
- 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?