How do AI video interview tools analyze candidates

Evaluating Content and Communication, Not Just First Impressions

AI video interview tools generally analyze candidates by processing recorded responses to standardized interview questions, evaluating specific factors employers have identified as relevant to job performance, though the exact scope of this analysis — and how controversial specific features are — has evolved considerably as the technology has matured.

What These Tools Commonly Analyze

Common analysis factors include the actual content and substance of a candidate’s spoken responses, word choice and specific terminology used (particularly relevant for roles requiring specific technical or industry knowledge), and broader speech patterns related to clarity and communication skills, generating a score or evaluation summary for human recruiters to review alongside the recorded interview itself.

The More Controversial Practice of Facial and Vocal Analysis

Some earlier and more controversial implementations of these tools also attempted to analyze facial expressions, microexpressions, or vocal tone as a proxy for traits like confidence, enthusiasm, or trustworthiness — a practice that drew significant scientific and ethical criticism, given weak evidence that these signals reliably indicate genuine job-relevant qualities, along with documented concerns about how well such analysis performs consistently across different demographic groups.

Why Some Vendors Have Scaled Back Facial Analysis Features

In response to this criticism, along with specific regulatory attention in some jurisdictions, some prominent vendors in this space have scaled back or discontinued facial expression analysis features specifically, shifting their tools’ focus more heavily toward analyzing actual response content and communication patterns rather than attempting to infer psychological traits from facial movements or vocal characteristics.

Why Human Review Still Plays an Important Role

Most implementations of these tools are designed to support human recruiter decision-making rather than fully automate hiring decisions — the AI-generated analysis and score typically accompanies the actual recorded interview for a human recruiter or hiring manager to review directly, rather than functioning as the sole basis for advancing or rejecting a candidate.

Why This Remains an Evolving, Sometimes Contested Area of Hiring Technology

Given the documented scientific and ethical concerns associated with more invasive analysis features, and specific regulatory attention this technology has received in some jurisdictions, the specific capabilities and practices associated with AI video interview tools continue to evolve, with some features that were common in earlier versions of this technology becoming less prevalent over time.

Bottom Line

AI video interview tools generally analyze recorded candidate responses for content, word choice, and communication patterns against employer-defined criteria, with more controversial facial expression and vocal tone analysis features facing significant criticism and reduced adoption by some prominent vendors due to documented accuracy and fairness concerns — with human recruiters generally still reviewing the resulting analysis rather than relying on it as a fully automated decision.

Go deeper

• What Is Facial Recognition AI and How Widely Is It Used?