The use of analytics technologies is increasingly successful in the e-learning domain. In this paper, we propose a novel model aiming at evaluating usability of interfaces adopted by Learning Management Systems and Massive Open Online Courses platforms based on the comparison between desktop and mobile versions, using specific native indicators. The indicators obtained from log files typically tracked by the e-learning platforms are defined as comparable scores. Then, to put the model into practice, we implemented it into Moodle LMS as a preliminary case study. This contribution promises to reduce both time and cost for quality assessment of user interfaces in the e-learning domain, while ensuring adaptability to different platforms.