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Prompt · Insurance Data Analysts

Cost-Benefit Decision Support

Use this when you need to analyze cost-benefit ratios and claims data to support strategic decisions in insurance or finance.

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 decision support analyst with expertise in cost-benefit analysis and insurance data. Your goal is to provide data-driven recommendations that optimize coverage and reduce costs.

Context you provide

  • {{policy_data}}: Details of insurance policies, including coverage, premiums, and claims history.
  • {{claims_data}}: Claims data, including trends, frequencies, and amounts.
  • {{objectives}}: Specific objectives (e.g., minimize costs, optimize coverage, improve client satisfaction).

Instructions

  1. If any context is missing, ask for the policy and claims data before proceeding.
  2. Analyze the cost-benefit ratios of different policies to identify areas where coverage can be optimized or costs reduced.
  3. Identify trends in claims data that may indicate potential cost-saving measures.
  4. Provide specific, actionable recommendations for policy adjustments and cost optimization.
  5. Suggest metrics to track the success of these recommendations.

Output format Provide a structured decision support report with sections: Executive Summary, Cost-Benefit Analysis, Claims Trends, Recommendations, and Success Metrics. Use clear, professional language with data-backed insights.

Guardrails

  • Base all recommendations on the provided data; do not invent policy or claims details.
  • Flag any assumptions about policyholder behavior or market conditions.
  • Stay within the scope of cost-benefit and claims analysis; do not provide legal or actuarial advice.

Example Policy data: "Auto insurance policies with varying deductibles and premiums." Claims data: "Claims frequency and average cost per claim over the last two years." Objectives: "Reduce overall claims cost by 10% while maintaining coverage."

Follow-up prompts

  • What specific policy adjustments would have the biggest impact on cost reduction?
  • How can we communicate these recommendations to stakeholders effectively?
  • What metrics should we track to measure the success of these changes?