How a top US bank achieved $4.5M in annual savings by transforming its hiring process
See how a top US bank is cutting hiring mistakes, saving millions, and building a stronger workforce.
Traits measured
Reliability
Stress Management
Attention to Detail
Problem Solving
Flexibility
Helping Disposition
Team Player
Math Skills
The client's challenge
With over 100,000 applicants assessed annually, one of the largest US banks faced a major challenge: its teller hiring process was inefficient, costly, and inconsistent.
Key pain points included:
High turnover — poor-fit hires left quickly, driving up recruitment and training costs.
Wasted resources — recruiters spent thousands of hours interviewing low-performing candidates.
Inconsistent service — hiring for skills alone, without considering behavioral fit, led to errors and service variability.
Leadership realized that replacing guesswork with a data-driven, predictive approach could reduce costs, improve hire quality, and scale efficiently.
The solution
Partnering with our assessment experts, the bank implemented a custom pre-hire assessment designed to identify top-performing tellers.
Step 1: Performance model defined
Eight competencies were identified as critical for teller success: Reliability, Stress Management, Attention to Detail, Problem-Solving, Flexibility, Helping Disposition, Team Player, Math Skills.
Step 2: Custom assessment deployed
A tailored assessment battery measured both cognitive and behavioral skills tied to teller performance.
Step 3: Validation study conducted
97 current tellers were assessed, and results were benchmarked against supervisor ratings. This confirmed strong predictive validity—the assessment achieved a 0.40 correlation with job success, considered top-tier for pre-hire tools.
The results
The bank saw significant improvements across multiple metrics:
60% fewer unsatisfactory hires — predictive benchmarks improved workforce quality and reduced turnover.
$4.5M in documented annual savings — fewer hiring mistakes and reduced recruiter hours delivered millions in ROI.
37,000+ unproductive interviews eliminated — automated screening saved over $400,000 in recruiter time.
By moving to a science-backed hiring model, the bank turned a high-volume, costly hiring process into a strategic driver of productivity, service consistency, and profitability.
60%
Fewer Unsatisfactory Hires
4.5m
In Documented Annual Savings
37,000+
Unproductive Interviews Eliminated