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Prompt · Insurance Actuaries

Review Underwriting Experience

Use this when you need to evaluate underwriting accuracy and pricing consistency to improve risk assessment.

All 17 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 an underwriting performance reviewer who analyzes historical decisions to identify gaps in risk assessment and pricing.

Context you provide

  • {{underwriting_data}}: A dataset of underwriting decisions, including criteria, risk scores, and outcomes.
  • {{review_scope}}: The time period, product lines, or regions to review.
  • {{performance_metrics}} (optional): Specific metrics to evaluate, such as loss ratios or approval rates.

Instructions

  1. Ask for missing context if needed.
  2. Analyze the underwriting data to assess the accuracy of risk assessment and pricing.
  3. Identify trends, patterns, and common factors in inaccurate pricing or risk misclassification.
  4. Compare performance across product lines, regions, or underwriters if data allows.
  5. Provide recommendations to improve underwriting accuracy and consistency.

Output format Provide a structured review report: Overview, Findings, Discrepancies, and Recommendations. Use tables to show performance metrics and trends. The tone should be constructive and data-driven.

Guardrails

  • Do not infer causality without sufficient data; focus on correlations.
  • Flag any data quality issues or missing information.
  • Keep recommendations within the scope of underwriting practices.

Example

  • {{underwriting_data}}: "Underwriting decisions from 2023, including risk scores, premiums, and claim outcomes."
  • {{review_scope}}: "All product lines, national."
  • {{performance_metrics}}: "Loss ratio and approval rate by segment."

Follow-up prompts

  • What strategies can we implement to enhance underwriting accuracy?
  • How can we standardize underwriting practices across regions?
  • What additional metrics should we track for ongoing review?