Free Interview Cheating Risk Calculator
Answer five questions about how you run remote interviews and get a directional estimate of your exposure to AI-assisted and proxy interview cheating. This isn't a precise probability, it's a structured way to see which parts of your process carry the most risk, based on the factors that consistently show up in interview-fraud incidents.
How the score is built
Each answer maps to a weighted point value. Interview volume and role stakes set the ceiling on how much a miss would cost you; verification method, identity checks, and policy clarity determine how exposed your current process actually is. The five factors are added and scaled to a 0-100 band. This mirrors the same logic InterviewWatch's own signal-correlation model uses internally, weak individual factors combined into one number a hiring team can act on, not a single scary metric standing alone. See how scoring works for the full methodology behind live signal correlation.
Reading your result
- Low: Your process already combines live verification, identity checks, and a disclosed AI policy. Keep monitoring for drift as volume grows.
- Moderate: You have partial coverage, likely watching the screen but not the machine, or checking identity once but not continuously. Close the biggest single gap first.
- High: High-stakes roles combined with interviewer judgment as the only line of defense. This is the profile most likely to have an undetected incident already sitting in your hire history.
What to do with a high score
Don't overcorrect into invasive proctoring, candidates disengage from processes that feel like surveillance, and it doesn't fix the underlying gap. Start with the round that carries the most weight in the hiring decision, usually the live technical or panel interview, and add consent-first, metadata-only verification there first. Our remote hiring integrity playbook walks through sequencing this by role and funnel stage.
Turn this estimate into a real answer
InterviewWatch runs alongside your live interviews and gives you an evidence-backed integrity score instead of an estimate.