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can then be used to refine assessment criteria, focusing on job-relevant competencies and reducing bias stemming from outdated or irrelevant metrics.

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can then be used to refine assessment criteria, focusing on job-relevant competencies and reducing bias stemming from outdated or irrelevant metrics.

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