Engagement Drivers

Learning analytics closes the gap between what organizations spend on L&D and whether that spend produces measurable capability improvement — a gap that exists in most organizations because training completion rates and satisfaction scores have been the primary measurement currency despite predicting almost nothing about actual skill change or performance impact. The most valuable learning analytics capability is post-training behavior change tracking: comparing performance metrics, error rates, or manager assessment scores before and after training for the same population, with a control group where possible, to isolate the training effect from other variables. This requires connecting learning platform data to performance management and HRIS data — an integration investment that most organizations have not yet made.