Interview analysis is the AI-scored read of how a candidate communicates and performs the human parts of a job (soft skills, composure, and spoken language) from a short structured interview, turned into evidence you can compare candidate to candidate.
What does interview analysis measure?
Interview analysis measures the signals that predict performance but never fit on a resume: how clearly someone explains a problem, how they handle pressure or a tough question, and how well they actually speak the language the job runs in. It replaces a subjective gut-read with a structured score on the same rubric for every candidate.
That gap matters because a resume is nearly silent about the work itself: read on its own, a CV screen correlates with later performance at only about r = 0.14. When ai interview software puts a structured score on how someone communicates and thinks out loud, validated combined methods climb into the 0.45-0.6+ range, since the analysis is scoring the human behavior instead of the paperwork listing it.
Interview analysis works by running a short async interview, then scoring the response automatically on communication, role-specific soft skills, and CEFR-rated language. Candidates complete it on their own time in about four minutes; you get a ranked shortlist with the evidence behind every score, so you can audit it or override it with judgment.
Async, ~4-minute interview candidates take on any device, any time zone
Question-agnostic language scoring on the CEFR scale (A1-C2), accent rated for clarity only
Explainable, bias-excluded scores with the evidence attached
Bulk scale: a single role can hold thousands of applicants
Interview analysis is tuned to what each role actually demands. Browse the 13 sub-industries we cover, and pick a role to see the exact skills it scores and how fast you can screen.
