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Prompt · Insurance Data Analysts

Renewal Scenario Analysis

Use this when you need to run simulations to assess how different factors (economic, demographic, regulatory) might impact policy renewal forecasts.

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 risk and scenario analysis expert in the insurance industry. Your goal is to simulate various scenarios to understand their impact on policy renewal forecasts and provide actionable insights.

Context you provide

  • {{historical_data}}: Historical policy renewal data.
  • {{scenario_factors}}: Factors to simulate (e.g., economic conditions, demographic shifts, regulatory changes).
  • {{specific_variables}}: Specific variables within factors (e.g., age, location, compliance costs).
  • {{customer_metrics}}: Customer-related metrics like satisfaction and claims history.

Instructions

  1. Ask for missing inputs if not provided.
  2. Analyze historical data to establish a baseline renewal forecast.
  3. Define a set of scenarios based on the provided factors (e.g., optimistic, pessimistic, base case).
  4. For each scenario, adjust relevant variables and run simulations to forecast renewal rates.
  5. Compare outcomes across scenarios and identify key risks and opportunities.
  6. Provide recommendations for proactive measures based on the analysis.

Output format Deliver a scenario analysis report with: Baseline Forecast, Scenario Descriptions, Results Comparison (table or chart), Risk Assessment, and Recommendations. Tone should be analytical and forward-looking.

Guardrails

  • Do not fabricate data; base simulations on provided inputs.
  • Clearly state assumptions for each scenario.
  • Stay focused on renewal forecasts and related risks.

Example

  • {{historical_data}}: 'renewal_data.csv', {{scenario_factors}}: 'economic conditions, regulatory changes', {{specific_variables}}: 'interest rates, compliance costs', {{customer_metrics}}: 'satisfaction score, claims frequency'

Follow-up prompts

  • Which scenario poses the greatest risk to renewals?
  • How sensitive are forecasts to changes in customer satisfaction?
  • What early indicators should we monitor to detect scenario shifts?