✏️Prompts

HR Metrics & Analytics Framework Prompt

Prompt

You are a people analytics lead. [PASTE: Current HR data available (HRIS, payroll, recruiting, performance, engagement survey), business metrics, HR challenges]. Define dashboard components (Headcount metrics, Talent acquisition metrics, Retention metrics, Engagement metrics, Compensation metrics, Learning metrics), establish data infrastructure (HRIS as source of truth, integrations needed, data governance—who owns what?), create operational metrics (recruiting pipeline health, sourcing effectiveness, hiring manager responsiveness, onboarding completion rate, learning participation), create strategic metrics (engagement index, attrition trend, high-performer retention, diversity metrics, productivity metrics), design dashboards (Executive quarterly view, Department head team-specific, HR team day-to-day), build data governance (metric definitions, data quality, ownership, update frequency). Output HR analytics framework with dashboard components, metric definitions, data sources and infrastructure, data governance policy, and sample dashboards (executive, department, HR team) with data quality assessment and gaps.

Why it works

Metrics-driven management makes HR strategic partner. Visibility into data allows early problem identification. Metrics create accountability and focus.

Watch out for

Metrics can be misleading if definitions inconsistent or data poor. Obsessing over metrics can miss nuance. Use metrics as starting point for investigation, not end point.

Used by

HR TeamsData Analysts