Collecting and analyzing demographic data—such as gender, race, ethnicity, age, and disability status—at key hiring stages helps identify potential biases or bottlenecks. For example, if diverse candidates apply but are disproportionately screened out early, it signals a need to investigate and adjust screening or interview practices to ensure fairness.
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