Ranking · Resume shortlisting
Resume shortlisting software for CV and candidate shortlisting
Shortlisting is where a hiring process either stays defensible or quietly falls apart. The textbook method works: write down your essential and desirable criteria, score every applicant against them on a matrix, and interview the top 10 to 12. The problem is arithmetic. Doing that honestly for 400 applicants takes longer than most teams have, so in practice reviewers skim the first 60 resumes, shortlist from those, and the matrix never gets filled in.
Parse · score · rank · recruiter reviews
Held for recruiter review · never auto-rejected
Screen the pile to watch Prescreener parse every resume, apply your criteria and knockouts, and rank the inbound applicants with a transparent reason on each.
Live, interactive · AI assists, you decide · no signup needed
AI assists · you decide · bias-audited (EEOC / NYC Local Law 144)
Human-in-the-loop you decide
EEOC and LL144 bias-audited
Prescreener does the shortlisting pass at full depth. It reads every resume or CV that arrives, applies your essential criteria as knockouts, scores the desirable criteria as weighted role-fit, and ranks the entire pile with a plain-English reason on each candidate. You get the same shortlist the matrix method would have produced if someone had the hours to finish it, plus a record of why each candidate landed where they did. A recruiter reviews and decides on every candidate, since nothing is auto-rejected. Screening is bias-audited to support EEOC standards and NYC Local Law 144, with candidate consent and AI disclosure.
Why it works
What your team gets with resume shortlisting
Essential vs desirable
Must-have criteria run as knockouts and nice-to-have criteria run as weighted scores, which is exactly the essential and desirable split recruiters already use on a shortlisting matrix.
The whole pile, not the first 60
Every applicant is scored on the same criteria, so a strong candidate who applied on day nine is compared as carefully as the one who applied first.
A shortlist you can defend
Each placement carries its criteria and the resume evidence behind it, so when a hiring manager asks why someone made the cut you have an answer on record.
What it handles
Parsed, scored and ranked on autopilot
Prescreener reads every inbound resume, applies your knockout and eligibility criteria, asks the screening questions you set, scores role-fit against consistent criteria, and ranks the applicant pile so your recruiters review the top matches first.
- Shortlists resumes and CVs against your essential and desirable criteria
- Scores role-fit consistently across the entire inbound pile
- Ranks candidates so you can interview the top 10 to 12
- Records the reason behind every shortlist placement
- Keeps a recruiter in the loop on every advance or reject decision
Why Prescreener
One step that screens the whole inbound pile
Not a full ATS, not a six-figure assessment suite, and not a staffing agency. Parse, score, rank and hand off in one place, shaped to the criteria you already hire on.
Reads every resume
Prescreener parses every inbound application, applies your knockout and eligibility criteria, and asks the screening questions you set. Applicants consent and are told AI is screening their application, so no qualified person sits in a backlog for days.
Scores role-fit consistently
Every applicant is scored against the same criteria, with a transparent reason on each candidate, so the pile is compared consistently and the scoring stays bias-audited against EEOC guidance and NYC Local Law 144.
Ranks the pile
The strongest matches rise to the top of a ranked pile your recruiters review first. Prescreener never auto-rejects, it ranks and flags candidates for review, and your team makes every decision.
Good questions
Questions about resume shortlisting
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Set your role and criteria and Prescreener parses every inbound resume, scores role-fit, and ranks the pile for your team. Prescreener ranks and flags candidates, your recruiters make every hiring decision.
Consistent criteria · bias-audited to EEOC and LL144 · human-in-the-loop