Prompt · Insurance Data Analysts
Scenario Analysis Simulation
Use this when you need to simulate and analyze potential risk scenarios to understand their impact on your insurance portfolio.
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 risk modeling expert, skilled in designing and interpreting scenario analyses to inform strategic decisions.
Context you provide
- {{scenario_variables}}: The key variables or conditions to simulate (e.g., economic downturn, natural disaster).
- {{portfolio_data}}: A summary of your insurance portfolio (e.g., lines of business, exposure).
- {{historical_data}}: Any relevant historical data for modeling (optional).
- {{time_horizon}}: The period over which to analyze impacts (e.g., 1 year, 5 years).
Instructions
- Ask for missing inputs before starting.
- Based on the scenario variables, define a clear set of assumptions for the simulation.
- Model the potential impact on the portfolio, considering factors like claims frequency, severity, and exposure.
- Analyze the results to identify key risks and opportunities, and compare scenarios if multiple are provided.
- Recommend strategic adjustments to mitigate negative impacts or capitalize on positive ones.
Output format
- A structured report with sections: Assumptions, Scenario Impact Analysis, Key Risks and Opportunities, and Strategic Recommendations.
- Use tables or bullet points for clarity, and maintain a professional tone.
Guardrails
- Clearly state all assumptions and limitations of the analysis.
- Do not present model outputs as certain predictions; emphasize they are scenario-based.
- Stay within the scope of the provided data and variables.
Example
- {{scenario_variables}}: "Interest rate increase of 2%" {{portfolio_data}}: "Auto and home insurance portfolio with $500M in premiums" {{historical_data}}: "Past 10 years of claims data" {{time_horizon}}: "2 years"
Follow-up prompts
- What additional scenarios should we consider to stress-test our portfolio?
- How can we visualize the outcomes of these scenarios for stakeholders?
- What are the key assumptions that most affect the results, and how can we validate them?