Pre-employment assessment platform with AI-powered validation
Criteria builds pre-employment assessments and talent-selection tools anchored in psychometric validation and legal rigor. The tech stack reveals a sales-and-data-focused engineering approach: Salesforce + Gong + ZoomInfo for pipeline management, React/TypeScript for frontend UX, and SPSS for statistical validation—grounded in their core mission of evidence-based hiring. Active projects around AI-powered features and criterion-related validation studies signal a push toward predictive scoring while maintaining the statistical defensibility their enterprise customers demand.
Criteria is a talent-assessment company serving mid-market and enterprise HR departments. Founded in 2006 and based in West Hollywood, the company operates a suite of rigorously validated pre-employment tests covering aptitude, personality, skills, emotional intelligence, and game-based formats, alongside video-interviewing tools. The platform is designed to reduce hiring bias and increase objectivity in candidate evaluation. Their customer base faces two core pain points: navigating complex procurement cycles for enterprise hiring software, and managing legally defensible selection at scale. Criteria's engineering team is actively building AI-powered assessment features while maintaining validation rigor through ongoing criterion-related studies.
Frontend: React, JavaScript, TypeScript. Backend: PHP, Laravel, MySQL. Infrastructure: AWS, Lambda, API Gateway, CircleCI for CI/CD. Sales/admin: Salesforce, Gong, ZoomInfo. Analytics: SPSS for psychometric validation.
AI-powered assessment features and pipelines, CI/CD pipeline improvements, and criterion-related validation studies to strengthen the statistical defensibility of their selection tools at scale.
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