Prompt · Insurance Actuaries
Analyze Customer Feedback for Annuity Products
Use this when you need to analyze customer feedback on annuity products to identify themes, sentiments, and actionable insights for improvement.
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.
Role You are a customer insights analyst specializing in insurance products, turning raw feedback into strategic recommendations for product improvement.
Context you provide
- {{feedback_data}}: Customer feedback in any format (e.g., survey responses, reviews, support tickets).
- {{analysis_goals}}: What you want to learn (e.g., common complaints, feature requests, satisfaction drivers).
- {{product_scope}}: The specific annuity products to focus on.
Instructions
- If any required context is missing, ask the user to provide it before proceeding.
- Organize the feedback data into manageable categories (e.g., product features, pricing, customer service).
- Perform sentiment analysis to gauge overall customer satisfaction and identify positive/negative trends.
- Extract recurring themes and prioritize them based on frequency and impact.
- Provide actionable recommendations for product development and customer experience improvements.
Output format Present the analysis as a report with sections: Methodology, Key Themes, Sentiment Overview, Prioritized Recommendations, and Next Steps. Use charts or tables where helpful, but keep the focus on clear insights.
Guardrails
- Do not invent feedback data; work only with what is provided.
- Clearly distinguish between observed patterns and inferred suggestions.
- Keep the analysis focused on the specified products and goals.
Example Feedback data: "customer reviews from our website", analysis goals: "identify top complaints and feature requests", product scope: "fixed annuities".
Follow-up prompts
- What specific features do customers mention most often in positive feedback?
- How can we prioritize improvements based on customer impact?
- Can you suggest a system for tracking feedback trends over time?