AI scoring · Automated scoring
Automated candidate scoring that ranks on proven ability
Manual scoring does not scale: every reviewer weights things differently, the tenth resume gets less attention than the first, and bias creeps in. Automated candidate scoring fixes the consistency problem, but only if the scores are explainable. SkillJudge scores every candidate automatically against a transparent rubric and shows its work.
Each applicant returns a scorecard with an overall grade and per-skill sub-scores on a red to amber to green scale, each linked to the evidence behind it, and they rank into a shortlist with no manual triage. Because every candidate meets the same rubric, the hundredth is scored as carefully as the first. The AI scores, you decide, and your team reviews the strongest people first.
Score real ability · evidence-linked rubric · ranked shortlist
Assessment brief
Candidate submission
evidence ·
Ranked shortlist
Real work in scored scorecard out
AI scores you decide
Why it works
What you get with automated scoring
Consistent at any volume
The hundredth candidate is scored against the same rubric as the first, so quality and attention do not drop as your pipeline grows.
Explainable automation
Every automated score links to evidence in the work, so the ranking is transparent rather than a number nobody can defend.
No manual triage
Candidates sort into a ranked shortlist automatically, so your team reviews the strongest people first without reading every submission.
What it handles
Real work in, an evidence-linked scorecard out
Set a role-matched task and SkillJudge scores each submission against a transparent rubric, returning per-skill sub-scores with linked evidence and a ranked shortlist. The AI scores, you make the call.
- Scores every candidate automatically
- Applies the same rubric to all applicants
- Returns evidence-linked scorecards
- Ranks candidates on a red to amber to green scale
- Removes manual triage from the pipeline
- Keeps scoring consistent at high volume
evidence · Solved the task cleanly with sound method.
evidence · Mostly thorough; one assumption left untested.
evidence · Missed two boundary conditions in the work.
evidence · Reasoning was clear and easy to follow.
Why SkillJudge
One platform that scores ability and ranks candidates
Not a personality quiz, not a pass-fail black box, and not a resume scan. Real role-matched work, scored against a transparent rubric, returned as an evidence-linked scorecard and a ranked shortlist. The AI scores, you decide.
A transparent rubric
Every candidate is scored against the same rubric you can read, with per-skill sub-scores on a red to amber to green scale, so hiring stays consistent and fair.
Evidence behind every score
Each sub-score links to the exact work that earned it, the test, the answer, the line, so the grade is auditable and your decision is defensible.
A ranked shortlist
Overall grades roll up into a ranked list, so the strongest candidates are already at the top and your team reviews proven ability first.
Good questions
Questions about automated scoring
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Learn moreStop guessing from resumes. Hire on proven ability.
Set a role-matched task and SkillJudge scores every candidate against a transparent rubric, returning an evidence-linked scorecard and a ranked shortlist. The AI scores, you decide.
Engineering, data, sales, support & product · evidence-linked rubric · AI scores, you decide