Part of the people analytics cluster. This is educational, operational guidance that connects to the wider site — the employee lifecycle, employer operations, metrics and templates.
Use your own clean data, and interpret with care.
Why it matters
Decisions about people are too important for anecdote, but careless analytics dresses up bias in numbers. A disciplined framework — good questions, clean data, honest interpretation — makes choosing what to measure about the workforce trustworthy and useful.
The method matters more than the dashboard.
Key concepts
- Measure what drives decisions.
- Few, well-defined measures.
- Leading vs lagging indicators.
- Context with every number.
Operational framework
- Start from a decision or question, not the data.
- Ensure clean data and consistent definitions.
- Interpret with context; resist over-claiming causation.
- Report clearly for the decision and audience.
- Govern data, privacy and access throughout.
Data & governance
- Which measures matter most.
- How each is defined.
- How data is sourced.
- How measures are governed.
Common challenges
- Measuring everything.
- Vanity measures.
- Drifting definitions.
- Numbers without context.
Best practices
- Measure the decision-relevant few.
- Define measures precisely.
- Balance leading and lagging.
- Always show context.
Common mistakes
- Too many measures.
- Vanity metrics.
- Inconsistent definitions.
- Context-free numbers.
Measure this with the workforce capacity metrics metric, put it into practice with the workforce planning template, and run it as a system via workforce capacity planning.
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Free, printable HR resources
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