HR and People Analytics applies statistical methods, data science, and business intelligence techniques to workforce data — transforming headcount records, survey responses, payroll figures, and collaboration logs into evidence-based decisions about hiring, retention, compensation, development, and organisational design. The field spans descriptive reporting (what happened), diagnostic analysis (why it happened), predictive modelling (what will happen), and prescriptive analytics (what should we do). Coverage below moves from foundational workforce metrics through advanced retention modelling and organisational network analysis.
What This Cheat Sheet Covers
This topic spans 14 focused tables and 120 indexed concepts, 120 flashcards. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.
A jump-to index of every table row in this cheat sheet.
An interactive map of every table and concept in this topic.
Table 1: Headcount and Workforce Composition Metrics
Before any deeper analysis is possible you need a clean picture of who is on the payroll and how the organisation is shaped. These are the foundational counts and structural ratios — active versus on-leave headcount, FTE normalisation, span of control, hierarchy depth — that nearly every downstream metric divides by. Fix the snapshot date and the denominators here and the rest of your reporting stays comparable across periods.
| Concept | Formula / Syntax | Notes | |
|---|---|---|---|
All active employees on snapshot date | • Point-in-time count; distinguish active vs on leave vs contractors • Use consistent snapshot date (e.g., last day of month) across periods | ||
Headcount − (on leave + inactive records) | • Excludes employees on extended unpaid leave • Used as denominator for per-employee KPIs | ||
FTE = Σ(hours worked per week ÷ standard full-time hours) | • E.g., two 20-hr/wk employees = 1.0 FTE • Normalises part-time workforce for cost and productivity comparisons | ||
Full-time / Part-time / Contractor / Temporary | • Segment workforce mix by employment category • High contractor ratio signals cost-flexibility strategy or classification risk | ||
IC / Manager / Director / VP / C-Suite counts | • Track pyramid shape over time • Widening base relative to top = healthy growth; shrinking middle = management compression | ||
Span = Direct reports ÷ managers | • Optimal range typically 6–10 for operational roles • Low spans (<4) inflate management cost; high spans (>15) strain manager capacity | ||
Count of org-chart levels from CEO to IC | • Fewer layers = faster decisions, lower overhead • Track per division; delayering initiatives reduce layers to 5–7 for most organisations | ||
Internal hires ÷ total hires × 100 | • Higher internal ratio signals strong talent development culture • Benchmark: 30–40% internal fill rate is common in mature talent markets | ||
(End headcount − Start headcount) ÷ Start headcount × 100 | • Compare against revenue growth to gauge workforce scalability • Declining ratio may signal automation or productivity gains |