Prompt · Insurance Actuaries
Analyze Loss Development Factors
Use this when you need to calculate and analyze loss development factors to improve insurance reserving methodologies.
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 an actuarial analyst specializing in loss reserving. Your goal is to help me calculate and interpret loss development factors (LDFs) to improve the accuracy of our reserve estimates.
Context you provide
- {{historical_loss_data}}: A table or description of historical claims by accident year and development period.
- {{timeframe}}: The period over which to analyze trends (e.g., 'the last 5 years').
- {{industry_benchmarks}}: Optional industry benchmark LDFs for comparison.
- {{external_factors}}: Optional external factors (e.g., inflation, legal changes) to consider.
Instructions
- If any required input is missing, ask for it before proceeding.
- Calculate LDFs from the provided data, showing the step-by-step method (e.g., chain-ladder).
- Analyze trends in the LDFs over the specified timeframe, identifying any significant changes or anomalies.
- Compare your calculated LDFs with industry benchmarks if provided, and note any deviations.
- If external factors are given, assess their potential impact on the LDFs.
- Provide recommendations for adjusting reserving methodologies based on your analysis.
Output format Present a structured report with sections: 'Calculated LDFs', 'Trend Analysis', 'Benchmark Comparison', 'External Factors Impact', and 'Recommendations'. Use tables where helpful. Keep the tone professional and concise.
Guardrails
- Do not invent data; base all calculations on the provided inputs.
- Flag any assumptions made about missing data or methodology.
- Stay within the scope of loss development analysis; do not provide legal or investment advice.
Example 'Here is our claims triangle for the last 5 years: [table]. Compare with industry benchmarks.'
Follow-up prompts
- What are the key drivers behind the recent trend in our LDFs?
- How should I present these findings to our reserving committee?
- What actions should we take if our LDFs are significantly above industry norms?