AI Candidate Scoring

Score every applicant,
0–100, with reasoning.

Spectacled scores every candidate against your role across seven dimensions — and explains each score in plain language. Stop ranking resumes by gut feel and make every decision consistent and defensible.

One score. Full reasoning.

Skills, experience, logistics, and role fit are structured across seven dimensions, scored 0–100, and explained in plain language — so every shortlist decision can be reviewed and defended.

  • Seven weighted dimensions roll up into one alignment score
  • Written reasoning behind every score, not a black box
  • Scores update as new data comes in
  • The same rubric applied to every candidate
Everything else in the platform

What goes into the score.

Each dimension is scored 0–100 and weighted, then combined into a single alignment score with written reasoning. If a dimension has no data, its weight is redistributed across the rest rather than counted as a zero.

Technical Fit
35%
Skills matched, missing, and bonus — weighted by a 3-tier priority system across a 500+ skill taxonomy.
Experience
20%
Years of experience, seniority, career trajectory, domain relevance, and progression patterns.
Skill Depth
15%
Proficiency per skill — beginner through expert — not just whether a skill is present.
Logistics
10%
Location, work arrangement (remote/hybrid/onsite), relocation, travel willingness, and work authorization.
Preferences
10%
Salary expectations vs. budget, company size, and working-style alignment.
History
5%
Past submissions, prior interview scores, and historical performance signals.
Communication
5%
Spoken languages and English proficiency (CEFR level) matched to role requirements.

Consistent, explainable, defensible.

Consistent

The same rubric applies to every candidate, so the tenth resume of the day gets the same rigor as the first.

Explainable

Every score comes with written reasoning and the exact skills matched, missing, and bonus — never a black box.

Defensible

Hard and soft disqualifiers flag eligibility-critical fields like work authorization and location, and every decision is logged.

Common questions.

How does AI candidate scoring work?

Each candidate is scored 0–100 against a role across seven weighted dimensions. The dimension scores roll up into one alignment score, and every score includes a plain-language explanation.

Is AI candidate scoring accurate and fair?

Scoring applies the same rubric to every candidate, which removes the drift of manual review. Each score is explainable, and hard and soft disqualifiers flag eligibility-critical fields such as work authorization and location so they surface rather than hide. Scoring ranks and explains — a recruiter still makes the call.

Can I see why a candidate received a score?

Yes. Every dimension comes with written reasoning, and matched, missing, and bonus skills are shown explicitly — so you can see exactly what drove the number.

Does candidate scoring replace recruiters?

No. Scoring ranks and explains candidates so recruiters spend their time on judgment instead of first-pass screening. It was built by recruiters to support decisions, not replace them.

Score your next candidate in minutes.

Create a free account and see every candidate scored 0–100 with written reasoning.