Root Cause: Credentials In, Performance Out
Acme defines jobs through credentials (inputs) rather than outcomes (outputs) — creating a fundamental mismatch between what they screen for and what drives on-the-job success. This single upstream design flaw cascades across all six dimensions: inflating compliance risk, suppressing candidate quality, driving up recruiting costs, and producing analytics that measure activity rather than outcomes.
Click any dimension to see the key finding ↓
Financial Impact
At $159K contribution margin per employee, even a 5% improvement across 240 improvable exempt hires creates $9.5M in annual value. Combined with $6.4M in bad hire costs and $6.5M in recruiting waste, total opportunity is $22.4M annually.
High ImpactLegal Compliance
Degree requirements found in 70%+ of postings, including roles where experience could substitute — creates adverse impact exposure under Littler Mendelson framework. Each unnecessary degree requirement narrows your talent pool and increases legal surface area.
High RiskSelection Science
No work sample or cognitive assessments detected. Relying on interviews + credentials, which explain only 18% of performance variance per Sackett (2022). Structured behavioral interviews with validated scoring would more than double predictive validity.
High ImpactProcess Quality
6-stage interview process with 52 engineering roles across 8+ title variations — classic fragmentation waste. Career Hub consolidation could reduce postings by 40% while improving candidate quality through clearer role definition.
Moderate ImpactAI Utilization
Interview intelligence platform deployed but limited to efficiency (faster screening) rather than quality (better matching to outcomes). AI is speeding up a broken process instead of improving it — classic automation of waste.
Moderate ImpactHR Tech Stack
Zero quality-of-hire measurement connecting interview scores to on-the-job performance. The single most important metric for hiring improvement doesn't exist. Tech stack manages activity (time-to-fill, volume) but cannot answer "are we hiring better?"
High ImpactRecommended Next Steps
Implement Quality-of-Hire Measurement
Connect interview scores to 6- and 12-month performance ratings. Without this, no other improvement can be measured. This is the foundation.
Rewrite Top-Volume Job Postings
Convert Engineering and Sales postings from credential lists to outcome-focused career messaging. 90 postings covering 68% of open roles. Immediate compliance risk reduction + talent pool expansion.
Add Structured Work Sample Assessments
Introduce validated assessments for top-3 role families (Engineering, Sales, Ops). Moves selection validity from 18% to 50%+ per Sackett (2022). Directly reduces bad hire rate.
Consolidate Career Hubs
Reduce 52 engineering postings to ~15 Career Hubs. Eliminates title fragmentation, simplifies sourcing, and improves candidate experience. Apply same model to Sales (38 → ~10).
Redirect AI from Speed to Quality
Reconfigure interview intelligence tools to measure quality signals (behavioral competency scores, outcome alignment) rather than just processing speed. AI should improve who you hire, not just how fast.
Remove Unnecessary Degree Requirements
Audit all postings for credential requirements without job-relatedness justification. Immediate EEOC risk reduction. Opens talent pool to experienced candidates without traditional credentials.