AI candidate ranking from resumes
When a posting pulls 80 resumes for one opening, manual screening either takes hours or gets skipped entirely. This playbook ranks every applicant against your knockout factors and the traits your best current performers share, surfacing a shortlist a manager can review in minutes.
Define your top-performer profile
Pull 5-10 traits from your best current employees in the role - tenure patterns, prior experience type, availability fit.
Set scoring weights
Decide how much weight knockout factors (must-haves) get versus culture-fit signals (nice-to-haves) in the ranking.
Review the shortlist, not the pile
Managers get the top 5 ranked candidates with a one-line rationale per person, instead of a flat resume stack.
Worth knowing
AI resume ranking can quietly encode bias if your 'top performer' profile reflects who you've hired before rather than who succeeds in the role. Periodically audit who gets surfaced versus who gets hired anyway.