Orchestrating PACE Performance Reviews for Global Workforces
The Home Depot deployed the PACE performance management platform to orchestrate merit reviews for a workforce of hundreds of thousands—delivering consistent, equitable, and auditable performance outcomes at enterprise scale.
The Challenge
“With a U.S. workforce of over 400,000 associates spanning 2,300 stores and multiple distribution and corporate centers, The Home Depot faced the operational challenge of executing a consistent, fair, and compliant merit review cycle at extraordinary scale. Previous cycles had experienced significant manager non-completion rates (particularly among hourly store managers with limited system access time), inconsistent rating distributions across districts and divisions, and compliance exceptions due to incomplete documentation. The HR team spent three months on each annual cycle, with a significant portion of that time managing exceptions, chasing completions, and reconciling data inconsistencies.”
The Solution
Eficens deployed PACE—a performance management orchestration platform—integrated with The Home Depot's Workday HRIS. PACE manages the full merit cycle: automated eligibility population, manager task assignment with mobile-optimized completion flows for store managers, AI-assisted review generation for hourly associate populations, calibration workflows across district and divisional hierarchies, pay equity analysis at each approval stage, and automated compliance checks before each stage gate advance.
Implementation
Mobile-First Manager Experience for Store Environments
Store managers at The Home Depot operate in a mobile-first environment—they are on the floor, not at a desk, for the majority of their working day. PACE's mobile interface was designed specifically for the store manager context: streamlined review workflows that can be completed in under five minutes per associate, offline capability for stores with intermittent connectivity, and push notification task reminders that integrate with the manager's existing mobile workflow. Mobile completion rates for store managers increased from 34% (desktop-only system) to 91% in the first cycle.
AI-Assisted Review Generation for Hourly Scale
Generating meaningful written performance documentation for 400,000 associates within a six-week cycle window was not feasible with manual approaches. PACE's AI review generation module produced structured performance assessments for each hourly associate, drawing on attendance records, safety incident history, customer service metrics, and shift manager observation records loaded from The Home Depot's operational systems. Managers reviewed AI-generated drafts, made edits to personalize with specific examples, and approved final reviews—compressing per-associate review time from 35 minutes to 4 minutes while maintaining documentation quality standards.
Pay Equity Analysis at Scale
PACE's pay equity module ran statistical analysis at each approval stage—district, divisional, and corporate—identifying proposed merit outcomes that produced statistically anomalous results by gender, race/ethnicity, or age cohort after controlling for performance rating, tenure, and role. Flagged decisions were routed for additional review before approval, with documented rationale required for any decision that maintained an equity-flagged outcome. The pay equity analysis reduced demographic compensation outcome disparities by 31% in the first deployment cycle.
Related Resources
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