Most hiring signals like resumes, interviews, and referrals look convincing but rarely predict performance. Mis-hires slow momentum, drain focus, and stall growth. Screenz solves this by simulating how candidates actually work before they’re hired. With role-specific tasks, benchmarks against your top performers, and data-driven insights, you hire for proof, not potential. The result is faster onboarding, stronger teams, and fewer costly mistakes.

ChatGPT said: Hiring methods like resumes, interviews, and referrals only hint at a candidate’s potential, but they rarely reveal true capability. That’s why leading teams are shifting to performance-based hiring with Screenz.ai. Instead of relying on guesswork, candidates complete real-world simulations that mirror the role, benchmarked against your top performers and evaluated with AI-driven insights. This approach reduces bias, saves time, and ensures you’re hiring people who can deliver measurable results from day one. The future of hiring is clear; prove performance before making the offer.

Traditional hiring tools like resumes, interviews, and referrals only show fragments of a candidate’s story—and often fail under real-world pressure. That’s why leading teams are shifting to performance-based hiring with Screenz.ai. Through job-specific simulations, top-performer benchmarks, and AI-powered evaluation, we help companies measure real capability, reduce bias, and hire with confidence. Instead of guessing how someone might perform, you see it before extending an offer. The result: faster, fairer, and more reliable hiring decisions that build stronger teams from day one.