Cost of bad hires + recruiting waste + unrealised talent value. Measured as % of EBITDA using the 3-Factor Financial Model.
Indirect discrimination risk from credential barriers. Assessed against applicable employment equality law, data protection, and AI regulation.
Do screening methods predict performance? Alignment with the Sackett et al. (2022) meta-analysis of selection method validity.
Interview consistency, workflow waste, and candidate experience. Seven Wastes (Muda) analysis applied to the hiring pipeline.
Is AI improving hiring quality or just processing speed? Evaluates deployment across sourcing, screening, matching, and analytics.
Is the tech stack driving outcomes or managing activity? Assessment of tools, integration, utilisation, and quality-of-hire measurement.