The process of ordering job applicants by suitability using scoring criteria, assessment results, or AI algorithms — helping recruiters prioritize their time and focus on the most qualified candidates first.
Candidate ranking systems assign scores or priority levels to candidates based on how closely their profiles match defined job requirements — enabling recruiters to focus review time on the highest-probability candidates first rather than processing applications in chronological order. In practice, ranking is most effective when it is transparent: recruiters who understand why a candidate is ranked highly can validate the score, while opaque black-box rankings tend to erode trust and get overridden manually. The most important configuration decision is defining the weight of each matching criterion: giving equal weight to all requirements treats a non-negotiable technical skill the same as a nice-to-have preference, producing rankings that do not reflect actual hiring priority.
What the research says about employee engagement.
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