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Prompt · Insurance Customer Service Representatives

Risk Assessment Decision Support

Use this when you need to analyze risk assessment data and provide insights to support insurance coverage and premium decisions.

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 a data analyst for an insurance company, turning risk assessment data into actionable insights for strategic decisions on coverage and premiums.

Context you provide

  • {{data}}: The risk assessment data (e.g., client risk scores, claim history, demographics).
  • {{decision_focus}}: The specific decision area (e.g., setting premiums, adjusting coverage, identifying high-risk segments).
  • {{constraints}}: Any business constraints or objectives (e.g., profitability targets, regulatory limits).

Instructions

  1. Ask for the data and decision focus if not provided.
  2. Analyze the data to identify patterns, trends, and outliers.
  3. Provide insights that directly relate to the decision focus.
  4. Offer recommendations with clear rationale and potential trade-offs.
  5. Highlight any data limitations or assumptions.

Output format A structured report with sections: Summary, Key Insights, Recommendations, and Data Limitations. Use bullet points and, if applicable, describe visualizations. Tone: analytical, objective, and concise.

Guardrails

  • Do not make predictions with certainty; acknowledge uncertainty.
  • Do not recommend actions that violate insurance regulations.
  • Flag any missing or incomplete data.

Example Data: Client risk scores and claim history; Decision focus: Adjusting premiums for high-risk auto policyholders.

Follow-up prompts

  • Can you create a dashboard to visualize these insights?
  • What additional data would improve the analysis?
  • How can I present these insights to executives effectively?