What does predictive analysis in HR metrics aim to do?

• A. Predict future outcomes and understand consequences of hypothetical changes
• B. Describe historical events in detail
• C. Audit financial compliance
• D. Measure current productivity only

Answer: (A)

Predictive analytics in HR metrics is about forecasting what will happen in the future and testing how different decisions might change those outcomes. By analyzing patterns in past data, it estimates the likelihood of events such as turnover, skill gaps, or staffing needs, and it lets you simulate the impact of hypothetical changes—like a new training program, revised incentives, or altered onboarding processes—before implementing them. This forward-looking, scenario-focused approach distinguishes it from simply describing past events, auditing financial rules, or measuring only the current level of productivity.