Turnover Analytics That Drives Retention

Turnover Analytics That Drives Retention is a strategic HR analytics course designed to help HR professionals move beyond basic turnover reporting and build data-driven retention strategies that improve business outcomes. Most organizations track turnover rates, but few truly understand which turnover matters, why employees leave, who is at risk next, and what actions will actually improve retention. This course teaches HR professionals, HR leaders, HRBPs, and People Analytics practitioners how to transform workforce data into actionable retention intelligence. Through practical frameworks, real-world case studies, segmentation exercises, and predictive retention techniques, participants will learn how to identify regrettable turnover, uncover root causes, predict retention risk, and build executive-ready retention strategies. In this course, you will learn how to: • Differentiate regrettable vs. non-regrettable turnover • Build a strategic turnover analysis framework • Segment turnover by department, tenure, performance, and role • Identify the drivers behind employee attrition • Use workforce data to uncover hidden retention risks • Develop employee risk scoring models without advanced statistics • Predict which employees are most at risk of leaving • Design targeted retention interventions tied to business outcomes • Build retention dashboards and executive-ready workforce insights • Present retention analytics in a way leadership understands and acts on You’ll also complete a hands-on capstone project where you create a retention analytics dashboard, employee risk framework, and executive retention strategy presentation using real-world HR analytics concepts. This course is ideal for HR professionals, HR Business Partners, People Analytics professionals, Talent Management leaders, Workforce Planning teams, HR Managers, and anyone responsible for employee retention or workforce analytics.