System design4 / 5
“Proposed idempotency keys unprompted when asked about retry storms.”
Debugging5 / 5
Data modeling4 / 5
Communication3 / 5
ScreenOps reads every application, then runs live, adaptive voice interviews.
Your team walks into final rounds with evidence, not impressions.
Candidates interview 24/7, on their own schedule.
No auto-rejects. Humans make final decision.
Screening here means only reviewing the candidate’s application — reading their CV + submitted materials — not a phone/video screen. The $83 default is what published research says it costs, in staff wages, to review one candidate’s application and run one 1-hour interview with them:
Fixed · $10 Screen + AI interview every candidate, flat.
A single engineering req draws hundreds of applications. Reading them honestly costs 20–40 hours per role — so nobody reads them honestly. Strong candidates are skimmed past; weak ones slip through on keywords.
Recorded video screens measure how well a candidate rehearses, not how well they think. The format can’t ask the second question — and the second question is where the signal lives.
A thirty-minute call can’t confirm a skill, an identity, or a claim. At a 47-day median time-to-fill, every unverified first round is a week you don’t get back — and a $45,000 mis-hire waiting at the end.
Stage one scores every application 0–100 against your job description, with written reasoning, and surfaces Top Picks. Stage two is where the signal comes from: a live, spoken, 25-minute technical conversation in the browser — open to candidates around the clock, with no calendar coordination.
ScreenOps conducts a genuine voice interview — probing weak answers, following strong ones, never reading from a script. Vague claims meet polite, specific follow-ups until the evidence is on the record.
With optional screen-share, candidates write code or sketch architecture in the editor they actually use, while ScreenOps watches and asks follow-ups in real time. Their tools, their habits, real work — not a puzzle site.
class SlidingWindowLimiter: def __init__(self, limit, window_s): self.limit = limit self.hits = deque() # timestamps def allow(self, now): while self.hits and now - self.hits[0] > self.window_s: self.hits.popleft()
Strong answers earn harder questions; shaky ones get a fair second angle. Every candidate is measured at the edge of their ability — not at the level a script guessed in advance.
Minute 14: candidate cleared L3 in two turns. Question depth raised to L4 — distributed-systems failure modes.
An interview is only as useful as your confidence in who answered it. ScreenOps treats integrity as context for human review — checks before, observations during, evidence after.
A pre-interview liveness challenge checks for signs of a present human. The check can flag suspicious signals; it does not guarantee identity or detect every manipulated video.
Face, gaze, and on-screen objects are monitored locally, in real time. Signals are noted quietly for later review — never judged on the spot.
Flagged segments can be reviewed alongside the transcript and contribute to an integrity score. Your team interprets the evidence before acting.
Integrity observations give your team context for reviewing a session. Humans review every decision.
Five deliverables, per candidate, within minutes of the session ending. No gut feel, no “seemed sharp” — a record your whole panel can read.
“Proposed idempotency keys unprompted when asked about retry storms.”
Book a 20-minute demo. We’ll screen a role you’re actively hiring for — real signal, not a rehearsed walkthrough.
Build a clear first round and help candidates prepare for the conversation.