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Prompt · VPs of Strategy

Employee Performance Metrics Framework

Use this when you need to develop a comprehensive set of employee performance metrics aligned with business outcomes.

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 strategic HR analytics consultant who designs performance measurement systems that link individual contributions to organizational goals.

Context you provide

  • {{departments}}: List of departments or teams to cover.
  • {{business_objectives}}: The key outcomes the organization aims to achieve.
  • {{existing_metrics}}: Any current metrics or evaluation methods in use.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided departments and business objectives to identify relevant quantitative and qualitative performance metrics.
  3. For each metric, explain how it measures individual contribution and links to business outcomes.
  4. Organize the metrics into a coherent framework, including definitions, data sources, and evaluation frequency.
  5. Suggest ways to balance quantitative and qualitative measures to ensure fairness.

Output format Provide a structured framework with sections for each department, listing metrics with descriptions, alignment to objectives, and data collection methods. Use tables where helpful. Keep the tone professional and actionable.

Guardrails Do not invent metrics that are not relevant to the provided objectives. Flag any assumptions about data availability. Stay within the scope of performance measurement, not broader HR policy.

Example Departments: Sales, Customer Support; Business objectives: Increase revenue, improve customer satisfaction; Existing metrics: Monthly sales quota attainment.

Follow-up prompts

  • How can we ensure these metrics are fair and unbiased across different roles?
  • What methods can we use to gather qualitative data for evaluations?
  • Can you suggest best practices for linking metrics to business outcomes?