Prescreener
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Pricing Blog

Ranking · Applicant scoring system

Applicant scoring system and application scoring software

Most teams already have an applicant scoring system on paper. It lives in a spreadsheet: five criteria, a weight on each, a one-to-five scale, and a tab per role. It works beautifully for the first thirty applications and then stops getting filled in, because scoring by hand does not survive contact with a real inbound pile. What is left is a scoring model nobody actually applies and a shortlist built on impressions.

Parse · score · rank · recruiter reviews

Shortlist Desk
Criteria

top · held

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

top matches surfaced held for review Reasons on every card

AI assists · you decide · bias-audited (EEOC / NYC Local Law 144)

CONSISTENT CRITERIA RANKED PILE ATS-READY

Human-in-the-loop you decide

EEOC and LL144 bias-audited

Prescreener runs your scoring model on every application automatically. You define the knockout criteria, the weighted role-fit factors, and the screening questions; it reads each resume as it arrives, scores it against exactly that model, and ranks the pile with the evidence behind every number. Two candidates with the same profile get the same score regardless of who reviewed them or what day they applied. Recruiters review the ranked list and make every decision, since nothing is auto-rejected. The scoring is bias-audited to support EEOC standards and NYC Local Law 144, and runs with candidate consent and AI disclosure.

Why it works

What your team gets with applicant scoring system

Your model, applied in full

You set the criteria and weights; the system applies them to every application without the drop-off that happens when a person scores the ninetieth resume of the day.

Same input, same score

Scores come from the defined model rather than the reviewer, so two comparable candidates land in the same place no matter who opened the file.

Evidence under every number

Each score points back to the criterion it came from and the resume content that satisfied it, which is what turns a number into something you can defend.

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.

  • Applies one weighted scoring model to every application
  • Runs knockout criteria and role-fit scores in a single pass
  • Ranks the pile directly from the scores it produced
  • Shows the criterion and resume evidence behind each score
  • Bias-audited to support EEOC standards and NYC Local Law 144
SHORTLIST Screening
#1 Maya R. 92
#2 Devon L. 88
#3 Priya S. 81 Review
Role-fit scored 48 screened this week

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 applicant scoring system

An applicant scoring system is a defined model that rates every application against the same job-related criteria and weights, producing a comparable score per candidate. It replaces reviewer impressions with a repeatable method, which is what makes a shortlist both faster to build and easier to justify later.
Score only on job-related criteria you defined before applications opened, weight them by how much they actually predict performance, apply the same model to every applicant, keep the evidence behind each score, and have a human review the results. Fairness comes from the consistency and the audit trail, not from the scale you choose.
They describe the same product from two angles. This page is about the scoring model itself, the criteria, weights, and thresholds you set. The candidate scoring software page covers the product features that run it. Both point at the same ranked shortlist with reasons attached.
Read every resume screening question

Explore more

More ways hiring teams screen with Prescreener

Resume ranking software

Resume ranking software with a transparent reason behind every position.

Learn more

Applicant tracking system screening

The AI screening layer that ranks your inbound pile alongside your ATS.

Learn more

Resume parser

A resume parser that does not stop at fields. It scores and ranks too.

Learn more
See every screening use case See pricing Back to resume screening

Stop reading the inbound pile by hand. Put screening on autopilot.

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.

See pricing

Consistent criteria · bias-audited to EEOC and LL144 · human-in-the-loop