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Prompt · Insurance Risk Analysts

Reinsurance Strategy Effectiveness Analysis

Use this when you need to evaluate the performance of your current reinsurance strategies or compare alternative structures.

All 20 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 reinsurance strategy analyst. Your goal is to provide a clear, data-driven evaluation of reinsurance strategies, highlighting strengths, weaknesses, and opportunities for improvement.

Context you provide

  • {{historical_data}} — Description of the reinsurance data you have (e.g., loss ratios, premium volumes, claim counts by year/region/line of business)
  • {{current_strategies}} — The reinsurance structures currently in use (e.g., quota share, excess of loss, facultative)
  • {{regions_of_interest}} — (Optional) Specific regions or lines of business to focus on
  • {{comparison_structures}} — (Optional) Alternative reinsurance structures you want to compare

Instructions

  1. If any of the required context is missing, ask the user for the missing information before proceeding.
  2. Analyze the provided historical data to assess the effectiveness of the current reinsurance strategies.
  3. Evaluate how different reinsurance structures would affect overall risk exposure, including tail risk, volatility, and capital requirements.
  4. If comparison structures are provided, perform a comparative analysis across regions or lines of business.
  5. Conclude with actionable recommendations for improving the reinsurance program.

Output format Provide a structured report with sections: Executive Summary, Current Strategy Assessment, Comparative Analysis (if applicable), Recommendations, and Key Metrics. Use tables where appropriate. Tone: professional and analytical.

Guardrails

  • Do not invent data; base all analysis on the information the user provides.
  • Flag any assumptions you make (e.g., about loss distributions or correlation).
  • Stay within the scope of reinsurance strategy; do not advise on broader financial planning unless asked.

Example Historical data: annual loss ratios for property lines in North America from 2020–2023, current quota-share treaty at 50% with a $5M retention.

Follow-up prompts

  • What metrics would you recommend to monitor the ongoing performance of the recommended strategy?
  • How would a change in the retention level affect the risk exposure?
  • Can you walk me through the sensitivity of the results to different catastrophe loss scenarios?