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FAQs
Frequently asked questions
How does the AI know what the hiring bar is for a specific role?
The system starts by converting a job description into an I/O informed interview script that defines the questions and scoring standards for the role. Hiring teams can review and adjust this rubric, so the AI evaluates responses using the same criteria your team would use.
What is the Trust Score, and why does it matter?
Trust Score measures how closely the AI’s evaluations match the hiring team’s own scoring decisions. During calibration, the system compares human and AI evaluations and highlights disagreements. As alignment improves, teams gain confidence that the AI is applying their hiring standards consistently at scale.
How does the system avoid being a “black box” AI?
Every recommendation from the AI includes an explanation of how the candidate response was scored and references moments in the interview that informed the score. This allows reviewers to verify the reasoning behind each evaluation.
Do humans still make the final decision?
Yes, always. The AI Interviewer produces structured evidence and recommendations, but hiring teams stay in control of the decision.
What kind of evidence can recruiters see?
Reviewers can see how answers were scored against the role criteria, the rationale behind scores, and references to the candidate’s interview responses so decisions are easier to review and stand behind.
