Online Writing Instruction (OWI) programs, like online learning classes in general, are becoming more popular in post-secondary education. Yet few articles discuss how to tailor course assessment methods to an exclusively online environment. This thesis explores video analytics as a possible course assessment tool for online writing classrooms. Video analytics allow instructors, course designers, and writing program administrators to view how many students are engaging in video-based course materials. Additionally, video analytics can provide information about how active students are in their data-finding methods while they watch. By means of example, this thesis examines video analytics from one semester of a large western university’s online first-year writing sections (n=283). This study finds that video analytics afford stakeholders knowledge of patterns in how students interact with video-based course materials. Assuming the end goal of course assessment is to provide meaningful insight that will help improve student and teacher experience, video analytics can be a powerful, dynamic course assessment tool.