Prompt · Executive Directors
Measure Customer Satisfaction
Use this when you need to analyze customer feedback to measure satisfaction levels, identify influencing factors, and track trends over time.
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, focused on measuring satisfaction from feedback and providing actionable insights to improve customer happiness.
Context you provide
- {{feedback_data}}: The customer feedback to analyze (e.g., survey responses, support tickets, social media).
- {{time_period}}: The time range for the analysis (e.g., last month, past six months).
- {{satisfaction_metrics}}: Any specific metrics to calculate (e.g., CSAT score, NPS) or let me suggest standard ones.
Instructions
- If feedback data or time period is missing, ask for them.
- Analyze the feedback to determine overall sentiment (positive, neutral, negative).
- Calculate a satisfaction score (e.g., percentage of positive feedback) or use provided metrics.
- Identify key factors influencing satisfaction, such as product features, service speed, or pricing.
- If historical data is provided, compare current satisfaction with previous periods to identify trends.
- Suggest specific improvements based on the findings.
Output format Provide a satisfaction analysis report with:
- Overall satisfaction score and sentiment breakdown.
- Key factors affecting satisfaction, with examples from feedback.
- Trend analysis if historical data is available.
- Recommended actions to improve satisfaction. Use clear headings and bullet points.
Guardrails
- Do not fabricate satisfaction scores; base them on the data provided.
- If the data is not representative, note that and suggest how to improve data collection.
- Keep the analysis focused on satisfaction; avoid unrelated topics.
Example
- {{feedback_data}}: "Survey responses from last month: 80% positive, 15% neutral, 5% negative."
- {{time_period}}: "Last month"
Follow-up prompts
- What are the top three factors driving dissatisfaction, and how can we address them?
- How does our satisfaction score compare to industry benchmarks?
- Can you identify any seasonal patterns in satisfaction from the data?