Research

Hiring intelligence,
backed by data.

We measure what matters: how accurately AI interviews predict job performance, how much time automation saves your team, and the real financial impact on your cost-per-hire. Every number is verifiable.

INTERVIEW INTELLIGENCE

AI Interview Quality Score

The AI Interview Quality Score (AIQS) measures how accurately Alize-conducted structured interviews predict 90-day job performance across 12 role categories — from sales and customer success to engineering and operations. By enforcing consistent competency frameworks and removing human interviewer variability, Alize AI interviews outperform unstructured phone screens by 3.1× on predictive validity, at zero recruiter preparation cost.

OPERATIONAL EFFICIENCY

Time-to-Hire Reduction Index

The Time-to-Hire Reduction Index (THRI) quantifies recruiter hours saved from job posting to qualified shortlist delivery. Alize automates the first two screening rounds — delivering a ranked, competency-scored candidate list within 24 hours of the role going live. Companies on the platform report cutting time-to-first-qualified-interview from 9.3 days to under 48 hours, with zero calendar coordination required.

FINANCIAL IMPACT

Cost-Per-Hire Delta

The Cost-Per-Hire Delta (CPHD) measures total screening cost reduction per qualified candidate versus manual recruitment workflows. Across 180+ companies on the Alize platform, average cost per qualified candidate dropped by 68% — driven by eliminating scheduling overhead, reducing no-show rates from 31% to 4%, and surfacing top-tier talent within hours rather than weeks.