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Featured Research Product Research • 35 pages • Published Dec 2024

The Science of AI-Powered Candidate Evaluation: GetScreened Methodology & Results

Abstract: A comprehensive analysis of GetScreened's AI-powered evaluation philosophy, methodology, and the integration of GetScreenedGPT for enhanced recruiter collaboration and bias-free hiring decisions. This research demonstrates 94.2% prediction accuracy while reducing hiring bias by 87% across 12,000+ interviews.

Key Findings

94.2% overall prediction accuracy
87% reduction in hiring bias
68% faster time to quality hire
99.1% interview consistency across candidates

Research Impact

Validated across 12,000+ interviews
Implemented in 35+ companies
Featured in HR Technology Review
10-point scoring methodology open standard
Download Full Paper (PDF) View Live Implementation →

Paper Details

Authors: GetScreened Research Team
Pages: 35
Format: PDF, 4.8 MB
Published: December 2024
Downloads: 18,750
Citations: 89

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