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Nova scores every candidate 0-10 with a written assessment. This page covers reading scores, assessment contents, and fixing calibration issues.

Score Scale

ScoreMeaning
9-10Exceptional fit across all criteria
8Strong match, meets core requirements with clear evidence
7Good match, meets most requirements
5-6Partial fit, gaps in some areas
3-4Poor match, significant gaps
0-2Very poor fit, minimal qualifications
A score of 8+ is a strong match. This threshold is used across Nova’s analytics and pipeline recommendations.
Review the first 20-30 scores to calibrate. If results don’t match, adjust your criteria. Nova scores faithfully against what you set.

What the Assessment Includes

  • Verdict: Overall summary
  • Strengths: What the candidate does well, with resume citations
  • Concerns: Gaps or missing qualifications, with evidence notation
  • Interview focus areas: Topics to explore during interviews

Evidence Notation

  • (not evidenced): Not mentioned in the resume
  • (contradicted by: [evidence]): Resume shows the opposite
  • (unverified: [what to check]): Needs confirmation during interview

Per-Criterion Analysis

  • ATS feedback: Overall score, verdict, strengths, and concerns
  • Nova dashboard: Per-criterion Pass/Partial/Fail status when available
Per-criterion breakdowns may not show in all ATS views. Check the Nova dashboard for the most detailed view.

Diagnosing Score Issues

SymptomLikely CauseFix
Most candidates score 9-10Criteria too looseAdd specific requirements, tighten experience ranges
Almost no one scores above 5Criteria too strictConvert less-critical requirements to “Nice to have”
Good candidate scored lowResume doesn’t reflect strengthsCheck if their resume mentions what criteria require
Inconsistent across similar candidatesCriteria are vagueMake criteria more specific and measurable
Everyone clusters around 4-6Too many “Must have” criteriaMove secondary requirements to “Preferred” or “Nice to have”
After adjusting criteria, use Reprocess Applications from the job’s actions menu to re-score existing candidates.
No manual weighting. Use importance levels (Must have, Preferred, Nice to have) instead. Nova factors importance into the overall score automatically.
Nova evaluates strictly against your written criteria. Review the assessment’s strengths and concerns to find the gap, then adjust criteria.
Nova can use a LinkedIn profile URL as a fallback. If neither is available, the candidate is skipped and not charged.
Criteria-driven assessment, not pattern matching against historical hires. Every score traces to specific criteria and resume evidence. Regular bias audits. See the Bias Evaluation for methodology.

Configure Criteria

Set up the rules Nova scores against

AI Candidate Scoring

How the scoring pipeline works end to end