Headcount Heatmap Chart
Guide to using the Headcount Heatmap chart
The Headcount Heatmap shows workforce distribution across two dimensions simultaneously — revealing structural depth and patterns that are invisible in single-dimension views.
What It Shows
X-axis (columns): Primary grouping — Department, KLT Area, Location, Job Function
Y-axis (rows): Hierarchical dimension — Layers (most useful), Pay Grade, Level
Cell color intensity: Darker = more headcount in that intersection
Cell values: Exact headcount numbers
Recommended setup: X-axis = Department (or KLT Area), Y-axis = Layers.
How to Read It
Layer depth — Count how many rows have data per column — this is how many layers that department has. Consistent depth across departments indicates standardized structure; outlier columns indicate structural variation.
Concentration points — Dense cells show where most people are. Small populations at high layers (e.g., 2 people in Layer 9) are potential efficiency flags — are those senior positions adding value?
Structural anomalies to flag:
One department with 9+ layers when others have 6 — why so many?
Very small populations (1–3 people) at high layer numbers
Missing middle layers (structural gaps)
Highly inconsistent patterns across comparable departments
Healthy patterns — 5–6 consistent layers across departments, concentration in middle layers (3–5), minimal populations at extreme layers.
Common Use Cases
Analyze chain length: Set Departments × Layers, count rows per column, identify which departments have unusually long reporting chains, investigate why.
Compare business units: Look for departments with different patterns from peers; consistent patterns = standardized structure; variation warrants investigation.
Pre/post-reorg comparison: View heatmap in Main Org (current state), screenshot, then open the scenario to see how proposed changes reduce layers or redistribute headcount.
Interactive Features
Show table — Click to reveal position-level breakdown for any cell (who is in that layer-department combination). Also exportable.
Filters — Apply filters to focus on specific layers only (e.g., Layers 1–4 for leadership analysis) or specific departments.
Export — PNG for presentations, PowerPoint for editable charts, CSV for quantitative analysis in Excel.
Troubleshooting
Chart looks empty
Check filters; verify X/Y axes are configured; confirm recent data upload
Too many layers showing
May be legitimate or a data issue; filter to Layers 1–6 to reduce noise
Numbers don't match expectations
Check scope filters; verify access permissions; confirm effective date range in scenarios
Related Resources
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