By collecting data on past assessments and correlating them with subsequent job performance, organizations can identify which evaluations predict success most accurately. These data-driven benchmarks can then be used to refine assessment criteria, focusing on job-relevant competencies and reducing bias stemming from outdated or irrelevant metrics.
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