Evaluation reports

Decision-ready interview intelligence

After a candidate completes the AI interview, Apex runs evaluation against job requirements and produces a comprehensive professional report for the recruiter.

Alex mode
Live
Auto-post control
Optional
GoHire API
Later integration
Report principles

Professional, defensible, recruiter-grade

Apex evaluates interview evidence against hiring requirements, not just generic sentiment.
The report should surface strengths, risks, alignment gaps, and recommendation clarity.
The recruiter receives both the in-app packet and the recommendation email automatically.
The final output must be polished enough to share internally with hiring managers.
Evaluation is calibrated to Senior Data Platform Engineer, with emphasis on deep cloud data infrastructure experience, bilingual communication, and calm cross-functional leadership under ambiguity. and knockout control around weak ownership signals, shallow systems thinking, or inability to explain architectural decisions to non-technical leaders..
Candidate report
Mina Sato
Role: Senior Data Platform Engineer
Advance
Recommendation
Advance
Confidence
High confidence
Delivery
Email + in-app history

Apex found strong role fit, low contradiction risk, and consistently senior-level answers tied to platform ownership.

Candidate report
Leo Tan
Role: Senior Data Platform Engineer
Hold
Recommendation
Hold
Confidence
Medium confidence
Delivery
Email + in-app history

Communication quality is strong, but the interview surfaced role-scope ambiguity and unclear team leadership ownership.

Candidate report
Sora Kim
Role: Senior Data Platform Engineer
Reject
Recommendation
Reject
Confidence
High confidence
Delivery
Email + in-app history

Knockout criteria were triggered on required domain depth and workflow ownership expectations.