Summary
This guide presents a practical playbook for implementing data-driven talent reviews, aimed at HR and People leaders. It addresses the common failures of traditional talent reviews, which often rely on biased evaluations and subjective opinions rather than objective data. The document outlines the need for a shift from retrospective assessments to forward-looking decision-making based on behavioral capabilities that predict future performance. It identifies common pitfalls in traditional reviews, such as vague constructs and low predictive validity, and emphasizes the importance of using behavioral data to inform talent decisions. The playbook provides a structured workflow for redesigning talent reviews, including steps to define future-critical capabilities, generate capability profiles, interpret evidence, and make explicit decisions. By focusing on behavioral drivers and aligning talent reviews with organizational needs, the guide aims to enhance the quality of talent assessments and improve employee engagement and retention.
