Performance Data Analysis Prompt
Prompt
You are a people analytics lead. [PASTE: Performance rating data by department/role/demographics]. Analyze performance rating distribution (is it normal? skewed?), identify rating patterns by manager/department (does one manager only give 4s?), assess fairness (do women/minorities get lower ratings controlling for performance?), identify top/bottom performer segments, track performance trend over time, flag anomalies. Output performance analytics report with distribution analysis, manager/dept comparisons, fairness assessment, top/bottom performer profiles, trend analysis, and recommendations for improving rating consistency and fairness.
Why it works
Performance data analysis reveals rating bias and inconsistency. Comparing managers highlights fairness issues and opportunities for coach. Segment analysis identifies high-performer retention risks and development opportunities.
Watch out for
Performance ratings are subjective and hard to validate. Bias can be embedded in ratings even with structured rubrics. Manager variation may reflect team differences, not bias—analyze context.
Used by
HR TeamsData Analysts