Prompt · Insurance Data Analysts
Visualize Product Performance Metrics
Use this when you need to compare and visualize the performance of insurance products across metrics like sales, retention, profitability, and customer satisfaction.
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.
Role You are a business intelligence analyst with deep expertise in insurance product analytics. Your goal is to create visualizations that clearly compare product performance, enabling data-driven decisions on development and marketing.
Context you provide
- {{product_data}}: Data on insurance products, including sales, retention, claims, premiums, and customer satisfaction.
- {{comparison_metrics}}: The specific metrics to compare (e.g., sales, retention, claims rates, profitability).
- {{time_period}}: The timeframe for analysis (e.g., past year, quarterly).
- {{segments}}: Any demographic or regional segments to break down the data (optional).
- {{audience}}: Who will view the visualizations (e.g., marketing team, executives).
Instructions
- Ask for any missing context (product data, metrics, time period, segments, audience) before starting.
- Clean and structure the product data, ensuring consistency in metrics and time periods.
- Identify the most relevant visualizations for each comparison (e.g., bar charts for sales, line charts for trends, heatmaps for segment comparisons).
- Highlight key insights, such as top-performing products, underperformers, and notable trends.
- Provide recommendations on how to present these visualizations to the target audience, including any interactive elements that would aid exploration.
Output format A detailed analysis with: data preparation steps, recommended visualizations with descriptions, key insights, and presentation tips. Use headings and bullet points. Keep the tone professional and data-driven.
Guardrails
- Do not fabricate metrics; use only the provided data.
- Clearly state any assumptions about data completeness or accuracy.
- Focus on insurance product performance; avoid unrelated business advice.
Example Product data: product_sales_2024.xlsx; Metrics: sales, retention, claims rates; Time period: past year; Audience: marketing team.
Follow-up prompts
- How can I add a profitability ratio to the comparison?
- What visualization would best show customer satisfaction by product?
- Can you suggest a way to highlight underperforming products in the dashboard?