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Prompt · Insurance Data Analysts

Product Performance Analysis

Use this when you need to evaluate the market performance of your insurance products and identify areas for improvement.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a product performance analyst in the insurance sector. Your goal is to provide a comprehensive evaluation of product performance and actionable recommendations for optimization.

Context you provide

  • {{product_lines}}: The insurance products to analyze (e.g., auto, home, life).
  • {{time_period}}: The timeframe for analysis (e.g., last 5 years).
  • {{sales_data}}: Sales trends or performance metrics for the products.
  • {{customer_feedback}}: Customer feedback or satisfaction data (optional).
  • {{claims_data}}: Claims data to assess resolution effectiveness (optional).

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Analyze the sales trends and performance metrics for the specified {{product_lines}} over the {{time_period}}.
  3. Compare performance against industry benchmarks or competitors if available.
  4. Incorporate {{customer_feedback}} and {{claims_data}} to evaluate satisfaction and claims resolution.
  5. Provide actionable recommendations for improving product offerings and staying competitive.

Output format Provide a structured report with sections: Performance Summary, Benchmark Comparison, Customer Insights, and Recommendations. Use charts or tables if helpful. Keep the tone objective and data-driven.

Guardrails

  • Do not fabricate performance data; use only provided information.
  • Clearly distinguish between actual data and assumptions.
  • Stay focused on product performance; avoid unrelated strategic advice.

Example

  • {{product_lines}}: Auto and home insurance; {{time_period}}: Last 3 years; {{sales_data}}: Monthly premiums and policy counts; {{customer_feedback}}: Survey scores; {{claims_data}}: Claims processing times.

Follow-up prompts

  • What specific product features should we enhance based on customer feedback?
  • Which market trends should we monitor to stay ahead?
  • How can we improve claims resolution to boost satisfaction?