Match Scoring

Every Candidate Scored.
Every Score Explained.

No black boxes. Perfect gives every candidate a 1-5 match score with detailed reasoning โ€” so you know exactly why someone's a fit before you even open their profile.

1-5
Score Range
100%
Scores With Reasoning
55%
Candidate Acceptance Rate
0
Black Box Decisions
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Powered by Match Cards โ€” Perfect's Proprietary Technology

Match Cards are the core of Perfect's scoring system. For every candidate, the AI generates a card that explains why the match is strong, provides company data, and summarizes what the candidate did at each role โ€” not just their job title. Swipeable, scannable, and built for speed.
What you get

Scoring That Thinks Like Your Best Recruiter

Detailed Match Reasoning

Every score comes with a breakdown: skills alignment, seniority fit, industry relevance, company caliber, and career trajectory. See exactly what the AI weighed and why.

Auto-Triage by Score

Above 4.0 โ€” auto-approved. Below 3.0 โ€” auto-declined. Between 3.0-4.0 โ€” held for your review. You only spend time on borderline decisions that actually need a human.

Multi-Signal Evaluation

Skills, experience length, company caliber, education, certifications, industry fit, funding stage experience, languages, and career progression โ€” each weighted by your must-have, important, and nice-to-have priorities.

Scores That Improve Over Time

Your approve/skip decisions teach the scoring model. The more you use it, the more accurately it reflects what "great" means for your team โ€” not a generic algorithm.

Company & Career Context

The AI understands that a "VP at a 10-person startup" is different from a "VP at a Fortune 500." It evaluates company size, funding stage, and growth trajectory โ€” not just the title.

Bias-Free Screening at Scale

Human screeners drift. AI doesn't. Your 500th applicant gets the exact same evaluation quality as your first. No recruiter fatigue, no Friday-afternoon shortcuts.

15 minutes. No commitment.
How scoring works

From Raw Profile to Ranked Match in Seconds

AI Reads the Full Profile

Every candidate's career history, skills, education, certifications, company background, and funding stage gets analyzed โ€” not just the headline or latest title.

Weighted Against Your Priorities

Must-haves are deal-breakers. Important criteria are core expectations. Nice-to-haves are bonuses. The AI respects your priority tiers โ€” not a one-size-fits-all formula.

Match Card Generated

A 1-5 score is assigned with a Match Card โ€” career summary, match reasoning, company context. "4.3 โ€” Strong SaaS background, 7 years in similar roles, missing fintech experience (nice-to-have)."

Auto-Triage or Human Review

High scores advance automatically. Low scores are declined. Borderline candidates surface for your team with all the context you need to decide in seconds.