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HIRING INTELLIGENCE

Not just a percentage. The evidence behind it.

The same engine that powers screening and the Radar — evidence-based matching that shows exactly why a candidate scored the way they did, requirement by requirement.

KEY CAPABILITIES
Requirement-by-requirement evidence
Years of experience per skill, cited
Missing requirements flagged explicitly
Same engine powers Screening, Radar, and Reports
◎ IN DEPTH

How match engine actually works

SIGNAL DECODED — WHY THIS MATTERS

Every score has a receipt. No more "the AI said so" — you can see exactly which requirement was and wasn't met.

STEP 01

Requirement identified

e.g. "Node.js, 5+ years"

ResumeRadar · Skills Auto-Extracted
Required skills, matched instantly
Node.js PostgreSQL AWS Docker· GraphQL· Kubernetes
Skills coverage4 / 6 matched
STEP 02

Evidence located

e.g. "6.2 years, 3 cited deployments"

ResumeRadar · Match Receipt
Every score, with its reasoning
5+ years backend experience
7 years at two companies
Node.js & PostgreSQL
Both listed, 3 projects cite them
Team leadership
No mention of managing others
STEP 03

Match computed

A percentage grounded in that specific evidence

ResumeRadar · Radar Leaderboard
Same candidates, ranked
#1Ananya Rao94
#2Rohan Mehta88
#3Priya Nair76
#4Karan Verma71
#5Sana Sheikh68
#6Vikram Joshi55
STEP 04

Decision factor recorded

Feeds into the overall recommendation

ResumeRadar · Batch Summary
50
Uploaded
12
Strong Hire
18
Shortlist
20
Pass
Score Distribution

See match engine on your own data.

Try ResumeRadar →