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Glossary

Candidate Scoring

Assigning a quantitative score to candidates based on objective signals (tests, validations, behavioral profile). Replaces or complements subjective resume reading at the initial screening stage.

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#What it is

Candidate scoring is the practice of assigning a quantitative score to candidates from objective signals, technical tests, validated behavioral profile, measured language level, verified work history. The score summarizes the candidate's position on a comparable scale and supports direct ranking.

It is not the same as the "match score" produced by a legacy ATS, which ranks by resume keyword frequency. Modern candidate scoring starts from measurements, not declarations.

#What goes into the score

Depends on the platform, but typically:

  • Hard skill: output of technical tests by stack or domain
  • Soft skill: Big Five profile or equivalent validated instrument
  • Language: CEFR level (A1-C2) measured by test
  • Experience: cross-validated (reference checks, public portfolio, verified employment record)
  • Operational criteria: availability, location, salary band sought

Each dimension is normalized. The final score is a weighted combination, configurable per context.

#Single score vs polygon

Two design choices:

1. Single score (0-100 or 0-1000), easy to communicate, loses nuance

2. Multidimensional polygon: surfaces per-dimension distribution, supports criterion filtering, enables richer comparison

NORT's choice is the competency polygon: Career Score is the name given to this multidimensional view. Companies filter by per-dimension minimums; candidates see their own polygon and identify dimensions to improve.

#Advantages

  • Direct comparability across candidates, independent of who read the resume
  • Objective signals rather than subjective reading
  • Cross-role reuse: one assessment, many opportunities
  • Reduces bias when instruments are validated (Big Five, standardized technical test, CEFR-level language)

#Honest limitations

  • Standardization loses particularity: a score doesn't capture what makes a candidate unique
  • Risk of test gaming: candidates can train for the test without improving job performance
  • Residual bias: even with validated instruments, rubric and dataset design influence outcomes
  • Doesn't replace the final conversation: alignment, culture fit, mutual expectations stay human

#Candidate scoring at NORT

The Career Score is the NORT implementation. It's a polygon spanning hard skill, soft skill (Big Five), language, and verified experience. Companies filter by objective criteria; candidates see and manage their own polygon.

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