Resources / Whitepapers
Research That Changes How You Hire
Technical deep-dives on the science behind structured hiring. Peer-reviewed methodology, practical applications, real data.
The Science Behind Confidence Scoring
TR-q-ROFNs for Candidate Evaluation
Traditional scoring hides uncertainty. This paper explains how Type-Reduced q-Rung Orthopair Fuzzy Numbers quantify evaluation confidence — and why it matters for hiring decisions. Includes mathematical foundations, worked examples, and validation methodology.
Pedigree Bias in Indian Hiring
The Hidden Cost of College-Based Filtering
IIT/NIT filtering is default in Indian tech hiring. But what does it actually predict? This paper examines the evidence on pedigree-based hiring, presents LayersRank comparison data, and offers practical recommendations for reducing bias without lowering standards.
Structured vs. Unstructured Interviews
What Actually Predicts Job Performance
Decades of research show structured interviews outperform unstructured interviews. This paper summarizes the evidence (including Schmidt & Hunter meta-analyses), explains how LayersRank implements structured principles at scale, and provides ROI analysis.
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