Learning Analytics can provide valuable insights to instructors regarding their teaching, however, analytics from vendor tools are often isolated datasets, which do not give the entire picture. We explored how to combine log data about video viewing activity with LMS data about course structure in order to provide our instructors with analytics that included not only student video watching behaviours (from the log data), but also contextual information about their course (from the LMS data). As the field of learning analytics has matured, we often see “scaled” solutions that aim to provide data or insights to an entire institution. However, the goal of “scale” can overshadow the design decisions made by individual instructors, creating analytics that are not relevant or detailed enough for decision making. Our collaboration between the analytics team and a learning designer allowed the focused development of a learning analytics dashboard that is contextually relevant and meaningful for our instructors so that they can use the information to make design decisions to improve their teaching and the student experience.