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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.

All 22 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 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

  1. If any required context is missing, ask for it before proceeding.
  2. Calculate the requested metrics using appropriate formulas and methods.
  3. Provide a comparative analysis across departments or time periods, as applicable.
  4. Highlight any bottlenecks or areas of concern in the results.
  5. 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?