How to Enable Automatic AI Evaluation

What is Automatic AI Evaluation?

Automatic AI Evaluation scores candidate responses after they complete the interview. It evaluates responses against your evaluation factors and scoring labels, then returns instant scores, detailed feedback, candidate rankings, and scorecards.

Use it when you want consistent first-pass assessment across interviews without reviewing every response manually. The feature works best when your evaluation factors and scoring labels are already defined, since those settings shape how the system scores candidates.

How to Enable Automatic AI Evaluation

Automatic AI Evaluation Features

Instant Scoring

Automatic AI Evaluation scores candidate responses as soon as the interview is complete, so you do not need to wait for a manual review cycle.

Factor-Based Assessment

The system evaluates each response against the evaluation factors defined for the job. This keeps scoring aligned with the criteria you already use in AI Evaluation.

Detailed Feedback

Automatic AI Evaluation provides feedback alongside the score, helping reviewers understand why a candidate received a specific result.

Candidate Ranking

Scores are combined into rankings that help you compare candidates consistently across the same interview.

Scorecard Generation

Automatic AI Evaluation generates scorecards that summarize the assessment and make review faster for hiring teams.

Best Practices

• Define evaluation factors before enabling Automatic AI Evaluation so scoring reflects the criteria you want to measure.

• Set up scoring labels first so the score output matches your hiring rubric.

• Review the configured factors and labels after you save the job to confirm they match the role.

• Use Automatic AI Evaluation as a consistent screening layer, then apply human review for final hiring decisions.

Automatic AI Evaluation streamlines hiring by delivering objective, consistent assessment at scale.