1. Utilization Loss
Measures the revenue gap between your current utilization rate and the industry target. Each percentage point of under-utilization across your headcount represents billable hours that went unscheduled.
Gross Billable at Target = Total Staff × 2,080 hrs × Target Util% × Avg Rate
Actual Billable = Total Staff × 2,080 hrs × Current Util% × Avg Rate
Utilization Loss = Gross Billable at Target − Actual Billable
| Benchmark | Value | Source |
|---|
| Annual billable hours | 2,080 | Standard (52 wks × 40 hrs) |
| Target utilization | 82% | AICPA PCPS MAP Survey |
2. Realization Gap
Captures revenue lost when billed work is written down before invoicing. The gap between your realization rate and the benchmark represents systematic under-recovery on engagements.
Realization Loss = Actual Billable × (Target Realization% − Current Realization%) / 100
| Benchmark | Value | Source |
|---|
| Target realization | 90% | AICPA PCPS MAP Survey |
3. WIP Write-Down Excess
Work-in-progress write-downs above the industry benchmark signal scope creep, under-scoped engagements, or billing discipline issues.
WIP Loss = Actual Billable × (Your WIP Write-Down% − Benchmark 3%) / 100
| Benchmark | Value | Source |
|---|
| Target WIP write-down | ≤ 3% | Rosenberg Survey / MAP data |
4. AR Carrying Cost
Extended receivables tie up cash and erode the real value of collected revenue. We model the opportunity cost of excess AR days above the benchmark using a 6% cost of capital.
Excess AR Days = Your AR Days − 45-day benchmark
AR Carrying Cost = Net Billable Revenue × (Excess Days / 365) × 6%
| Benchmark | Value | Source |
|---|
| Target AR days | ≤ 45 days | AICPA PCPS MAP Survey |
| Cost of capital | 6% | Mid-market CPA industry avg |
5. Extension Rework Cost
Extensions are a proxy for scheduling pressure. Roughly 1 in 4 extensions result from capacity conflicts that generate rework: restarting engagement context, re-briefing staff, and duplicate review cycles.
Scheduling Conflicts = Extensions Filed × 25%
Rework Cost = Conflicts × Avg Rate × 8 hrs × 2.5 multiplier
The 2.5× multiplier accounts for the full cost of a scheduling conflict: not just the direct rework hours, but the downstream effects on other engagements that get displaced, plus client relationship costs (re-communication, loss of confidence).
6. Burnout Risk Index
A directional score (0–100) based on peak-season hours relative to a sustainable 50-hour baseline. Not a clinical measure — it flags operational risk of turnover and quality degradation.
Overage Hours = max(0, Busy Season Hrs/Wk − 50)
Burnout Score = min(98, (Overage / 50) × 100)
Role-level multipliers: Seniors ×1.1, Staff ×0.8, Partners ×0.65 (reflecting typical workload distribution during peak periods).
7. What-If: One-Firm Scheduling Model
Projects your metrics under centralized capacity planning. Improvement assumptions are conservative and based on Beeye’s observed customer outcomes:
| Metric | Improvement | Basis |
|---|
| Utilization | +4 pp (capped at 86%) | Beeye customer avg |
| Realization | +6 pp (capped at 92%) | Beeye customer avg |
| WIP write-downs | −4 pp (floor at 3%) | Beeye customer avg |
| AR days | −15 days (floor at 45) | Beeye customer avg |
| Extensions | −50% | Beeye customer avg |
| Peak hours | −14 hrs (floor at 52) | Beeye customer avg |
Sources: AICPA PCPS MAP Survey (2023 edition); Rosenberg Survey of CPA Firm Statistics; Beeye internal customer operating data (n=47 mid-market firms, 30–250 staff). Benchmarks represent median values for firms in the 50–150 headcount range. All results are directional estimates — actual outcomes depend on firm-specific factors including service mix, geographic market, and staffing model.