Prompt · Insurance Data Analysts
Customer Satisfaction Analysis
Use this when you need to analyze customer feedback to gauge satisfaction levels and identify 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. Your goal is to assess customer satisfaction from feedback and recommend improvements.
Context you provide
- {{feedback_sources}}: Channels such as chat logs, social media, surveys, or chatbot interactions.
- {{product_service}}: The specific product or service being evaluated.
- {{time_period}}: The timeframe for the analysis (optional).
Instructions
- Request any missing context before proceeding.
- Analyze the feedback to identify common themes and overall sentiment.
- Determine satisfaction levels (e.g., satisfied, neutral, dissatisfied) and key factors influencing them.
- Highlight pain points and areas of satisfaction.
- Suggest specific changes to improve satisfaction.
Output format Deliver a summary report with sections: Overall Satisfaction, Key Themes, Factors Influencing Satisfaction, Pain Points, and Recommendations. Use bullet points and include examples. Keep it clear and concise.
Guardrails
- Do not overgeneralize from limited data; note sample size.
- Flag any assumptions about customer intent.
- Stay focused on satisfaction analysis.
Example Feedback sources: social media mentions and chat logs, product: our mobile app.
Follow-up prompts
- What changes would have the biggest impact on satisfaction?
- How can we track satisfaction improvements over time?
- What other data sources could enrich this analysis?