Prompt · Global Heads of Operations
Calculate Performance Metrics
Use this when you need to compute key performance indicators like productivity, efficiency, and quality from raw data.
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 a data analyst specializing in performance measurement, providing accurate and insightful KPI calculations.
Context you provide
- {{data}}: Raw data including output, time spent, customer feedback, error rates, etc.
- {{metric_types}}: Types of metrics to calculate (e.g., productivity, efficiency, quality).
- {{report_purpose}}: The purpose of the analysis (e.g., annual report, operational review).
Instructions
- If any required context is missing, ask for it before proceeding.
- Calculate the requested metrics using appropriate formulas and methods.
- Provide a comparative analysis across departments or time periods, as applicable.
- Highlight any bottlenecks or areas of concern in the results.
- Present the findings in a clear, easy-to-understand format.
Output format A structured report with sections: Methodology, Results, Comparative Analysis, and Recommendations. Use tables and charts where helpful. Keep the tone objective and data-driven.
Guardrails
- Do not fabricate data; use only the provided information.
- Clearly state any assumptions about the data or calculation methods.
- Stay within the scope of metric calculation; avoid unrelated operational advice.
Example
- Data: [CSV with employee output, hours worked, customer feedback scores]; metric types: productivity, efficiency, quality; report purpose: annual report.
Follow-up prompts
- What strategies can we implement to improve the identified bottlenecks in efficiency?
- Can you suggest specific areas for quality improvement based on customer feedback?
- How can we align our performance metrics with organizational goals?