Quick answer
Scores should point to transcript evidence.
Rubrics should be role-specific and reviewed by humans.
The AI recommendation should stay separate from the hiring decision.
Control
Good scoring system
Weak scoring system
Intrvio angle
Rubric
Role-specific criteria
Generic score
Configured per role
Evidence
Transcript quotes
Black-box number
Scorecard evidence
Oversight
Human reviewer
Auto-decision
Decision stays human
Audit
Logs and documentation
No trail
Trust artifacts
Why explainability matters
Interview scoring affects candidate progression, so teams need more than a number. They need to know what behavior, answer, or evidence the score reflects.
Explainability is also central to regulated AI hiring workflows, where employers may need to show oversight and documentation.
How Intrvio structures scoring
GAIA conducts the interview against a role plan, captures the transcript, and returns a scorecard for human review. The score is support evidence, not the final hiring decision.
Sources
Related pages
Frequently asked questions
It is scoring that gives reviewers a clear reason and evidence trail for each recommendation.