PARMA Workforce Economics
Payroll 59%→45-47% of revenue, utilization to 90-92%, EEI (efficiency index), 900+ person-months/year idle → ≤7%, 80 KPIs
What doesn't work
Payroll was the largest expense (~59% of revenue), yet 2/3 of employees were underloaded by 30%+. Idle time equaled 900+ person-months/year. Time entries didn't reflect real workload: actual idle time was masked by phantom tasks. Raises were tenure-based, not performance-based. Managers bore no responsibility for department payroll economics. No link between tasks, results, and compensation.
Architectural approach
Self-regulating workforce economics: (1) bi-weekly load plans per employee, (2) automated idle detection dashboard, (3) effort standards for typical tasks, (4) Employee Efficiency Index (EEI): speed × quality × utilization × development contribution (scale: <0.9 — improvement zone, 0.9-1.1 — target, >1.1 — bonus), (5) per-employee P&L model, (6) new compensation model — raises only for commitments or measurable impact.
What made it hard
Time tracking covered only 61% of hours — the other 39% were 'dark,' and people resisted transparency. The EEI formula (speed × quality × utilization × contribution) — every factor was controversial, had to calibrate on historical data and get HR buy-in. Per-employee P&L — legally and culturally sensitive, required CEO backing.
My role & contribution
CTO
Author of the workforce efficiency section in the production strategy. Developed the EEI formula (speed × quality × utilization × development contribution) and application scale. Designed the 80-metric KPI tree across 5 domains. Implemented per-employee P&L model and idle time dashboard.
How it looks
How it works
Diagnosis: tracking covered only 61% of time, true idle ~70%. Full time tracking rollout (61%→95%). KPI tree of 80 metrics across 5 domains: financial (revenue, profit, ROI, margin, cash flow) → resource (utilization, EEI) → project (timeline, budget, earned value) → client (NPS, CSI, retention) → HR (engagement, turnover). Idle dashboard + manager alerts. Monthly idle reports. Underloaded staff redirected to deficit projects or internal tasks (automation, training, libraries). Managers evaluated on idle management.
Why this way
Per-employee P&L + EEI instead of department-level reporting
Aggregated reporting by department without individual detail
Department reporting: hides efficiency variance within teams, allows idle masking. EEI + per-employee P&L: everyone sees their contribution, managers see true picture, compensation tied to results.
Each employee is a P&L unit with EEI. 80 metrics. Payroll from 59% to 45-47%. Idle from 30% to 7%
Results
- 01
- Payroll/revenue: 59% → 45-47%
- 02
- Employee utilization: 65-70% → 90-92%
- 03
- Idle time: ~30% → ≤7% of total hours
- 04
- Productivity (EEI): +7-10% in year one
- 05
- KPI tree: 80 metrics across 5 domains
- 06
- Time tracking: 61% → 95%
- 07
- P&L model per employee
Impact on business
Payroll drops from 59% to 45-47% of revenue — 12-14 p.p. savings. Idle time cut 75%: from ~30% to ≤7%, freeing 900+ person-months/year. Productivity grows 7-10% in year one via EEI. Every manager controls department economics through transparent metrics. Compensation becomes a management tool: raises tied to impact, not tenure.
Algorithms & patterns
Technologies
- TFS
- KPI Dashboard
- Time Tracking
- P&L Model
- BI Analytics
- Jira
- Confluence