Write your criteria in plain language or generate them from the job description. SquarePeg scores every applicant in your ATS against them and shows the resume evidence behind each subscore, so you review the strongest candidates first and can defend every decision.
Generate criteria from the job description and your intake or hiring-manager notes, or write them yourself in plain language. Mark each one Required, Preferred or Bonus.
Eligibility rules run before scoring: location or radius, time zone, a previous rejection reason, a screening-question answer or the application source. Ineligible applicants are never scored or charged, and you can reject them in bulk when you're ready.
SquarePeg reads a resume the way an expert would. It knows that Angular work implies TypeScript and that wireframing is part of UI design, and it quotes the lines in the resume that each subscore is based on.
Stop looking up companies. Criteria can reference where a candidate worked: industry, headcount, funding, public or private. So "experience at a venture-backed startup" is something SquarePeg can actually check.
Each criterion gets a subscore from 0 to 100 with a written explanation. Required criteria count three times, Preferred twice and Bonus once, and recent experience counts more by default. Rescoring is free.
Reject applicants with a reason or move them to the next stage, one at a time or in bulk. SquarePeg makes each change in your ATS exactly as if you had made it there, so your ATS emails and automations still run.
Identify applicants who have provided an invalid phone number or LinkedIn profile, have limited LinkedIn connections, or a recently created LinkedIn despite an extensive work history.
Recruiting teams use SquarePeg to spend their time on the right applicants, catch fake candidates early and get more out of the ATS they already pay for.
As an AI company, SquarePeg gives us a lot of credibility. It has saved us so much time on screening and improved quality of hire.
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Connect your ATS and SquarePeg scores your applicants, flags suspicious candidates, resurfaces past applicants and finds new ones, with the evidence behind every score. Credits work across every feature, there are no seat fees, and rescoring is always free.
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