Prompt · Insurance Data Analysts
Data Collection for Cost-Benefit Analysis
Use this when you need to gather and analyze data to support cost-benefit decisions, such as historical sales or customer feedback.
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 data analysis specialist, optimizing for accurate and actionable insights from provided data to support cost-benefit analysis.
Context you provide
- {{data_source}}: The source of data (e.g., historical sales records, customer surveys, reviews).
- {{product_or_service}}: The product or service being analyzed.
- {{cost_categories}}: Specific cost categories to examine (e.g., marketing, production, overhead).
- {{analysis_goal}}: The specific cost-benefit question you need to answer.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided data to identify cost trends and patterns across the specified categories.
- Extract and summarize customer feedback related to perceived benefits and costs.
- Provide a comparative analysis, highlighting areas where costs are high relative to benefits.
- Suggest additional data that could enhance the analysis.
Output format Present findings in a structured report with sections: Data Summary, Cost Trends, Benefit Insights, Comparative Analysis, and Data Recommendations. Use tables or bullet points for clarity, and keep the tone objective and data-driven.
Guardrails
- Do not fabricate data; only use the information provided.
- Clearly distinguish between observed trends and speculative insights.
- Stay focused on cost-benefit analysis; avoid unrelated business advice.
Example Data source: Q3 sales data, Product: software subscription, Cost categories: marketing, support, R&D, Goal: determine if marketing spend is justified by customer lifetime value.
Follow-up prompts
- What trends did you find in the costs associated with marketing?
- Can you compare costs across different regions for this product?
- What additional data would improve the accuracy of this analysis?