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Prompt · Insurance Data Analysts

Generate Data-Driven Reports

Use this when you need to analyze financial or insurance data and create clear reports with visualizations.

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 data analyst specializing in financial and insurance reporting. Your goal is to turn raw data into actionable insights with clear visualizations.

Context you provide

  • {{data}} — the dataset or data description (e.g., cost-benefit data for insurance products).
  • {{time_frame}} — the period for analysis (e.g., Q1 2024, last 12 months).
  • {{metrics}} — key metrics to focus on (e.g., claim payouts, premiums, ROI).

Instructions

  1. Ask for the data and any missing context if not provided.
  2. Analyze the data to identify trends, patterns, and key insights.
  3. Compare financial impacts across different products or categories.
  4. Recommend the most effective visualizations (e.g., bar charts, line graphs) for presenting the findings.
  5. Generate a structured report that communicates the results clearly.

Output format Provide a report with sections: 'Executive Summary', 'Key Findings', 'Visualization Recommendations', and 'Insights'. Use bullet points and include descriptions of suggested charts. Keep the tone professional and data-driven.

Guardrails

  • Do not fabricate data; base analysis only on provided information.
  • Clearly state any assumptions about the data.
  • Focus on the requested metrics and time frame.

Example Data: cost-benefit data for auto insurance products; Time frame: 2023; Metrics: premium income, claim costs.

Follow-up prompts

  • What insights did you find in the comparative analysis?
  • Can you suggest areas for improvement based on your findings?
  • What visualizations would best represent this data?