Start people analytics with the decision

Agree the business question before commissioning another dashboard.

A team has high attrition, and the first instinct is to request a predictive model. Ask first: what action can the leader take, what can the data actually tell us and what else might explain the pattern?

That conversation produces a much better brief. Sometimes descriptive analysis and conversations with employees are enough to find the next step. Technical sophistication earns its place when it improves the decision, not when it makes the output look more authoritative. CIPD frames people analytics around business problems, separates correlation from causation and warns that monitoring can be intrusive even where lawful.

Where I’d start: write a short decision brief: the question, the owner, the available actions, the minimum data and alternative explanations. Use aggregated data where it’s enough. Review whether the intervention helped, not whether the model was interesting.

The test: be very careful with individual labels. A statistical association doesn’t establish someone’s intent, and it can change how their manager treats them.

Source: CIPD · People analytics