Decision quality
Did they weigh trade-offs, or just describe what they did.
✦ai score
4/5
"We picked sharding over a bigger box because reads were 100:1."
Vet for high-signal
developers in the age of AI
InterviewOS turns raw interviewer notes into rubric-scored, evidence-backed candidate ratings. Every score traces back to a quote, not a gut feeling.
9 hiring signals
AI-assisted signal based hiring
Behavioral signals most scorecards miss entirely — each one scored against the transcript.
✦Scores are drafted by AI from the transcript — the interviewer confirms or overrides every one.
Adaptability
Do they update their thinking when constraints change.
✦ai score
3/5
"If writes spike, that plan breaks — let me redo the estimate."
Ownership language
"I decided" versus "we were asked."
✦ai score
5/5
"I made the call to cut the feature and told the team why."
Knowledge boundaries
Do they know what they don't know.
✦ai score
4/5
"I haven't run Kafka in prod — here's how I'd de-risk it."
Business awareness
Do technical calls connect to business impact.
✦ai score
3/5
"A 200ms redirect costs us conversions, so p99 was the target."
Practical judgment
Do they balance the ideal solution against real constraints.
✦ai score
4/5
"Two engineers, six weeks — so we shipped the boring version."
Evidence consistency
Do their stories hold together under follow-up.
✦ai score
4/5
3 accounts of the same project · no contradictions flagged
Initiative
Do they surface problems no one assigned them.
✦ai score
2/5
"Nobody asked, but the retry logic was silently dropping jobs."
Technical communication
Can they actually explain it.
✦ai score
5/5
"Think of the cache as a receipt drawer for hot links."
The evidence extraction engine
Map candidate responses directly to your hiring rubric
The evidence extraction engine maps raw interviewer notes to your rubric automatically, with a confidence score on every match.
Stop asking interviewers to remember and summarize. InterviewOS's pipeline reads notes and transcripts, matches statements to rubric criteria, and shows exactly which quote supports which score.
Live interview intelligence
Deeper questions,
in real time.
Real-time transcription feeds live follow-up probes, so interviewers push for depth instead of settling for a surface answer. Make the most of your interview with higher-signal questions.
Technical round — AI copilot answers complexity questions live, right beside the code
AI-assisted technical interviews, fully observed.
For coding and technical rounds, InterviewOS lets candidates use AI assistance, and monitors exactly what they ask and how they use it. See how a candidate collaborates with AI, not just whether they can code without it.
Completed scorecard — every signal rating traces back to a transcript quote
Fits your existing process
Not another siloed application.
Import roles straight from your ATS and run every round off questions your team already trusts. Fits in seamlessly with your existing hiring workflows for a low friction adoption.
Compare candidates side by side
Stop skimming ten scorecards to make one call.
Rank every candidate for a role on the same signals, weighted the way your team actually hires — then sort by fit and see exactly where each one separates from the pack.
Adjust signal weights per role and the ranking recalculates instantly. No spreadsheet exports, no re-scoring by hand.
Signal-weighted ranking — set the weights once, every candidate re-sorts against them
Hire higher signal
candidates today.
See how InterviewOS scores your next interview.