zinterview scores every candidate against role-specific criteria defined before interviews begin.
Recruiters get consistent evaluations with transparent reasoning. There is no black-box AI, no subjective drift across interviewers.
The flow
Set role requirements, skill groups, and weightage before candidates enter the pipeline. zinterview aligns all evaluations to these parameters.
Candidates complete AI-driven interviews. You can choose Standard or AI Mode where responses are assessed in real time against your predefined framework.
Access structured scores, resume fitment data, and contextual signals. Recruiters retain full control over final decisions.
Capabilities
Built to remove inconsistency at every stage.
Each component targets a specific failure point in traditional screening: resume bias, inconsistent interview questions, subjective scoring, and unexplained decisions. Together, they create a repeatable evaluation system that scales without losing recruiter oversight.
Resume Fitment
Filter candidates before interviews by matching resumes to job descriptions. Focus interview time where it creates the most signal.
Workspace Context
Every score includes clear reasoning tied to role criteria, so recruiters understand exactly why a candidate rated high or low.
Focus Signals
Assign importance to specific competencies such as technical depth, communication, domain knowledge, so evaluations reflect real hiring priorities.
Live Oversight
Behavioral context and response quality are tracked as supporting signals, not automatic judgments this helps recruiters interpret and AI informs.
Recruiter Advantage
Every detail placed open for you
The zinterview dashboard surfaces structured evaluation data: resume fitment scores, skill breakdowns, interview depth metrics, and behavioral context.
Recruiters see the logic behind every score and make the final call.
AI provides the structure. You provide the judgment.