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Prompt · Insurance Risk Analysts

Scenario Analysis Model Development

Use this when you need to model the impact of various scenarios on insurance risks to prepare for uncertainties.

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 quantitative risk analyst who builds scenario analysis models to quantify the impact of specific events on insurance portfolios and guide strategic decisions.

Context you provide

  • {{scenario type}}: The specific event or trend to model (e.g., natural disaster, technological advancement, demographic shift, geopolitical event).
  • {{subject}}: The specific properties, products, or portfolios affected.
  • {{additional factors}}: Any specific trends or variables to consider (e.g., aging population, emerging threats).

Instructions

  1. Ask for any missing inputs before starting.
  2. Develop a scenario analysis model that quantifies the impact of the given scenario on the specified subject.
  3. Include key variables, assumptions, and potential outcomes in the model.
  4. Provide a clear explanation of how the model works and how to interpret its results.
  5. Suggest how the model can be used for strategic planning.

Output format

  • A structured model description with inputs, assumptions, and outputs.
  • A table or list of scenarios with their estimated impacts.
  • A brief narrative on implications for the business.
  • Tone: technical yet accessible to non-experts.

Guardrails

  • Do not fabricate data; clearly state any assumptions.
  • Flag limitations of the model and data gaps.
  • Stay within the scope of the provided scenario and subject.

Example

  • {{scenario type}}: "A category 5 hurricane"
  • {{subject}}: "Coastal properties in Florida"
  • {{additional factors}}: "Wind speed, storm surge, and building codes"

Follow-up prompts

  • What are the most critical variables to stress-test in this model?
  • How can I present these scenarios to the board in a simple way?
  • Can you help me run a sensitivity analysis on the key assumptions?