Trait quizzes
Self-report personality tests are easy to game and weakly tied to on-the-job behavior.
hire.center drops each candidate into a live, AI-driven workplace crisis and measures how they communicate, negotiate and decide when it's hard — scored 1–5 with quote-backed evidence for every judgment.
AI-assisted and advisory only — a human always makes the hiring decision.
Interviews reward rehearsal. Résumés reward keywords. Neither shows you how a person holds a room when a launch is on fire, a client is furious, or two teammates disagree. That gap is where mis-hires come from — and it's exactly what a behavioral simulation makes observable.
Self-report personality tests are easy to game and weakly tied to on-the-job behavior.
Recorded answers to canned questions measure polish and confidence, not real decisions.
A dynamic, multi-character scenario that reacts to the candidate and surfaces genuine judgment.
Set up a role in minutes. Every candidate gets the same rigorous, structured experience — and you get a defensible scorecard, not a gut feeling.
Search any occupation. We pull its standard skill profile from the self-hosted O*NET database and pre-select the skills that matter most for that job.
Keep 2–8 skills. The Composure Profile — Stress Tolerance, Self-Control, Adaptability, Cooperation, Empathy — is always measured, free.
One ~15-minute live workplace crisis, tailored to the role's pressures and job zone. It pushes back, so rehearsed answers don't survive.
A scorecard with a 1–5 score per skill, each backed by a verbatim, server-verified quote. You decide — the tool never does.
Every scenario scores role-specific transferable skills from a shared, defensible taxonomy — plus a fixed five-trait Composure Profile that travels with every assessment.
Grounded in O*NET Work Styles (element 1.D). This is the behavior-under-pressure signal that a keyword-matched résumé can never give you.
Every score cites the candidate's own words. If the transcript doesn't support a score, the model returns "insufficient evidence" instead of guessing.
Skills map to the U.S. Department of Labor's O*NET and the EU's ESCO taxonomies — not a proprietary black box. See the method.
Output is explicitly advisory. That human-in-the-loop design is how we align with the EU AI Act for high-risk hiring tools.
Hiring AI is now regulated — the EU AI Act treats employment tools as high-risk, and laws like NYC Local Law 144 demand bias auditing. We designed for that world from day one.
Human-in-the-loop, logged decisions, transparency to candidates, and technical documentation.
EU AI Act →Structured, identical scenarios; construct-focused scoring; no résumé, name or demographic signals in the judgment.
Fairness & validity →EU-hosted data, clear retention, candidate rights, and no training of third-party models on your data.
Security & privacy →No. hire.center is decision-support only — it produces an advisory assessment, and a human always makes the final hiring decision. This is core to our design and to how we meet the EU AI Act.
Fourteen validated transferable skills mapped to the O*NET and ESCO taxonomies, plus a five-trait Composure Profile — each scored 1–5 with a verbatim quote from the candidate as evidence.
About 15 minutes. Each candidate faces one live, multi-character workplace crisis built from the role's blueprint skills. Scoring covers every blueprint skill plus the full Composure Profile.
Prepaid credits — 1 credit per skill evaluated per candidate. You choose 2–8 skills per role, so a typical assessment is 4–5 credits; the Composure Profile is always free. You get 12 free credits on signup, and credits never expire. See pricing.
Create a role, run the simulation yourself, and read the quote-backed evidence. 12 free credits — no card required.