Uses machine learning to analyze candidate gameplay and predict job performance based on behavioral traits.
Engaging, bias-resistant games that measure cognitive and emotional traits without cultural or demographic influences.
Algorithms focused on minimizing unconscious bias in hiring by emphasizing trait-based matching over demographic factors.
Comprehensive reports and real-time insights on candidate pools, hiring metrics, and organizational trends.
Seamlessly connects with popular ATS and HR systems like Workday, Greenhouse, and Lever for streamlined workflows.
User-friendly interface for candidates to complete assessments on any device, improving engagement and employer brand.
Screen large numbers of candidates efficiently using automated assessments to identify top talent quickly.
Assess graduates for entry-level roles based on behavioral potential rather than limited work experience.
Reduce bias in hiring processes to build more diverse and inclusive teams across the organization.
Identify existing employees for new roles or promotions by matching their traits with job requirements.
Match candidates with traits like resilience and persuasion for sales positions to improve performance.
Assess problem-solving skills and attention to detail for technical roles using objective data.
Use assessments to evaluate leadership potential and tailor training programs for future leaders.
Standardize assessments across different regions to ensure consistency and fairness in international recruitment.
Improve job fit by aligning candidate traits with role demands, leading to higher retention rates.
Maintain records of objective hiring criteria for legal compliance and transparency in recruitment practices.
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