An automotive manufacturing company needed to hire over a thousand workers to a skilled-labor position.

Supervisors were asked to rate the performance of their direct reports. These evaluation data were leveraged to understand performance differences among incumbents. After randomly selecting a group of over 200 employees in the role of interest, workers completed a psychometric assessment.

A custom performance model was created to increase the quality of hire according to the client’s Key Performance Indicators. Before the job candidate pre-screening solution was implemented, company executives received an estimate of ROI with a 100% payback date less than two years away

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