Walmart hires more than 400k new associates using Virtual Job Tryout pre-hire assessment
Walmart needed a scientifically rigorous, high-volume pre-hire assessment capable of processing thousands of daily applicants while maintaining validity as the job and work environment changed, and delivering a positive candidate experience — especially because Walmart's applicants are also its customers.
Walmart hired more than 400k new associates using the Retail Associate Assessment, achieving 95% completion rates and near-unanimous candidate recommendation rates, while generating a multi-million return on investment by eliminating replacement costs from not hiring the lowest-scoring candidates.
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Frequently asked questions
What did this team achieve with this AI workflow?
Walmart hired more than 400k new associates using the Retail Associate Assessment, achieving 95% completion rates and near-unanimous candidate recommendation rates, while generating a multi-million return on investmen…
What tools did this team use?
Virtual Job Tryout, Modern Hire, HireVue.
What results were reported?
Assessment completion rate: 95%; candidates recommending Walmart to others: nearly 100%; Return on investment from improved hiring: multi-million return on investment; New associates hired within months: more than 400k (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate enters high-volume pipeline → Virtual Job Tryout simulation → Science-based scoring and validation → Hiring manager selection review → ML-driven continuous improvement.