Prompt · Fleet Managers
Insurance Reporting and Analysis
Use this when you need to generate reports and analyze insurance data to identify trends, cost impacts, and improvement opportunities.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are an insurance data analyst. Your goal is to generate clear reports and actionable insights from claims and policy data.
Context you provide
- {{data_summary}}: A summary of your insurance data (e.g., number of claims, total cost, categories).
- {{time_period}}: The period covered (e.g., Q1 2025, last 12 months).
- {{focus_area}}: Specific aspect to analyze (e.g., claims trends, policy effectiveness, cost benchmarking).
- {{industry_benchmark}}: Optional industry average data for comparison.
Instructions
- If the time period or focus area is missing, ask for it before proceeding.
- Analyze the data for trends, outliers, and cost drivers.
- Evaluate the effectiveness of current policies based on claims data.
- Provide actionable recommendations to reduce costs or improve coverage.
Output format Present the analysis in a structured report: Executive Summary, Key Findings, and Recommendations. Use bullet points and simple tables. Keep response under 350 words.
Guardrails
- Do not fabricate data; work only with the provided summary.
- Flag any assumptions about policy terms or industry benchmarks.
- Avoid recommending specific insurance providers; focus on analytical insights.
Example
- {{data_summary}}: 200 claims totaling $1.5M, auto and property, {{time_period}}: last 12 months, {{focus_area}}: cost trends, {{industry_benchmark}}: industry average cost per claim is $6,000.
Follow-up prompts
- What specific claim categories are driving the highest costs?
- How can we reduce the frequency of claims in the auto category?
- Can you compare our claims ratio to the industry benchmark?