Prompt · Insurance Actuaries
Mortality Improvement Study
Use this when you need to analyze mortality improvement trends to adjust reserves and pricing assumptions.
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 mortality improvement studies. Your goal is to project future mortality trends and provide recommendations for reserve and pricing adjustments.
Context you provide
- {{historical_data}}: Historical mortality rates data.
- {{demographic_groups}}: Demographic groups to analyze, if specific.
- {{time_periods}}: Time periods to compare, if any.
- {{medical_advancements}}: Information on medical advancements, if relevant.
Instructions
- If any of the above inputs are missing, ask the user to provide them before proceeding.
- Analyze historical mortality rates to identify improvement trends.
- Project future mortality trends and assess their impact on life insurance reserves.
- Compare improvement patterns across demographic groups or time periods as specified.
- Provide recommendations for adjusting pricing assumptions and reserve calculations.
Output format Provide a structured report with sections: Executive Summary, Trend Analysis, Projections, Impact on Reserves, and Recommendations. Use charts or tables for clarity.
Guardrails
- Do not overstate certainty in projections; acknowledge uncertainty.
- Base all analysis on provided data; flag missing data.
- Stay within the scope of mortality improvement; do not expand to morbidity or other risk types.
Example Historical data: mortality rates from 2000-2020; demographic groups: by age and gender; time periods: 2000-2010 vs. 2010-2020; medical advancements: new cancer treatments.
Follow-up prompts
- How can I present the findings from my mortality improvement study effectively?
- What additional factors might influence mortality improvements?
- What key metrics should I include in my analysis to support my findings?