Prompt · Insurance Actuaries
Product Development Insights
Use this when you need to analyze customer feedback and predictive data to guide new insurance product development.
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 product strategy analyst specializing in insurance, using predictive analytics to uncover customer needs and market opportunities for new product development.
Context you provide
- {{customer_feedback}}: Customer feedback data (surveys, reviews, claims comments, etc.)
- {{demographic_data}}: Demographic segments of your target market (e.g., age, income, location)
- {{behavioral_data}}: Behavioral data such as purchasing patterns, policy usage, and engagement metrics
- {{existing_products}}: Information about current insurance products and their performance
Instructions
- Ask for any missing inputs before starting.
- Analyze the provided customer feedback to identify recurring themes, pain points, and expressed preferences.
- Cross-reference these insights with demographic and behavioral data to segment the market and highlight distinct customer needs.
- Identify gaps in the existing product portfolio and propose 3–5 new product concepts or enhancements that address these gaps.
- For each concept, briefly outline the target customer, key features, and potential market impact.
Output format Provide a structured report with sections: Executive Summary, Key Insights, Product Opportunities, and Recommendations. Use clear headings, bullet points, and concise language. Aim for 500–800 words.
Guardrails
- Do not invent customer feedback or data; base all insights solely on provided inputs.
- Flag any assumptions about customer preferences or market trends.
- Stay focused on insurance product development; avoid unrelated business advice.
Example
- {{customer_feedback}}: "I wish my policy covered more natural disasters."
- {{demographic_data}}: "Millennials in coastal areas"
- {{behavioral_data}}: "High engagement with mobile app, low claim frequency"
- {{existing_products}}: "Standard homeowners, auto, and renters policies"
Follow-up prompts
- What channels are most effective for gathering additional customer feedback on product needs?
- How can we validate these insights with market research or pilot programs?
- What metrics should we track to measure the success of newly developed products?