Understanding AI Candidate Scorecards & Evaluations - Hello Recruiter

After a candidate completes their AI interview, Hello Recruiter generates a comprehensive scorecard.

Candidate scorecard — An AI-generated candidate scorecard showing overall score and evaluation criteria

What’s in a Scorecard?

Each scorecard includes:

Overall Score — A composite score based on your weighted evaluation criteria
Criteria Breakdown — Individual scores for each evaluation criterion you defined
AI Summary — A written assessment of the candidate’s strengths, weaknesses, and overall fit
Key Highlights — Notable responses or moments from the interview
Risk Signals — Any flags related to potential fraud, AI usage, or impersonation

How Scores Are Calculated

Scores are calculated based on the evaluation criteria and weightages you defined when creating the job. The AI evaluates each candidate response against each criterion and assigns a score, then computes the weighted total.

Using Scorecards Effectively

Compare candidates within the same job. Scores are relative to the criteria you set, so they’re most meaningful when comparing candidates for the same role.

Read the AI Summary. The overall score is a useful quick filter, but the written summary provides context that numbers alone can’t capture — like communication style, enthusiasm, or domain depth.

Viewing Candidates

Risk Signals

Evaluation Criteria