Learning analytics are continually on the rise, but organizations often struggle with what should be measured. In L&D, measuring learning activity to determine effectiveness or impact of training is used. But are metrics collected from analytics sufficient to determine training effectiveness or areas of improvement? Is measuring satisfaction enough to tell us about the effectiveness of training? In fact, both activity and satisfaction measures have limited value in demonstrating the effectiveness of a learning experience. In this session, we will discuss key terms and research on training evaluation and learning analytics. You will leave the session with a research-based proposed solution to training evaluation, and basic understanding of the drawbacks of some popular models such as the net promoter score (NPS) and Kirkpatrick model, or learner satisfaction measures.