A look inside the NoaMetrics hiring workflow

The demo shows job requirements and candidate CVs being uploaded, followed by an analysis progress screen and candidate insights for a QA Engineer role. The insights include scores, but the short video does not show how those numbers are calculated. A reviewer still needs the underlying role and candidate records to judge the fit.

In a sample video interview, an AI interviewer asks a candidate what inspired her move into quality assurance. The exchange appears as text beside the call. A coding test appears elsewhere in the tour.

Those screens give a hiring team different evidence to consider: what the candidate says and how they work through a task. The video does not show the full interview or a completed test result.

Biometric verification has its own screen, and the video names fraud checks among the platform’s capabilities. It does not explain the method or accuracy of those checks. Identity information should be reviewed separately from evidence that a candidate can do the job.

Candidate insights lead into an interview invitation and scheduling. A dashboard displays time to fill, cost per hire, offer acceptance, and pipeline counts, giving the team a view of the work after screening.

The voiceover claims hiring can be ten times faster and significantly cheaper. It does not name a benchmark or provide a cost comparison in the video.