Why Usability Matters More Than a Long List of Features
Photo Credit: Loveleen Cherub
Digital training is convenient. It's accessible, scalable, and increasingly common across industries. Organizations can deliver consistent instruction to employees across locations, shifts, and departments without requiring everyone to attend the same classroom.
Digital training is here to stay. So why not do it well?
Much of this training is delivered through a Learning Management System (LMS), a digital platform used to organize, deliver, manage, and track training activities.
An LMS can simplify training administration, but it also shapes the employee's learning experience. If the system is confusing, the content is poorly designed, or the technology creates frustration, employees may disengage before meaningful learning begins.
The Hidden Problem
Organizations often judge their LMS by what it can do. Can it assign courses? Track completion? Generate reports? Store certifications? These functions matter, but they primarily serve administrative needs. They tell us surprisingly little about the learner's experience.
An employee may spend valuable time navigating menus, locating assignments, troubleshooting access problems, or trying to understand unclear instructions. Meanwhile, the actual training may consist of lengthy presentations, passive videos, and assessments that reward clicking through material rather than understanding it.
As we discussed in When Training Becomes Noise, employees experience the combined demands of their training environment, not each course in isolation.
An LMS that adds unnecessary obstacles contributes to those demands. Access makes learning possible. Engagement creates opportunities for learning. Effective instruction and practice help turn those opportunities into capability.
What Research Shows
Research on digital training usability, technology-related stress, and online learner satisfaction highlights several important considerations.
Laghendorf and Khalid (2025) reviewed research on digital training technologies used in industrial environments. Their findings emphasize the importance of evaluating usability through effectiveness, efficiency, and user satisfaction. Digital training technology should be assessed not simply by its capabilities, but by how successfully people can use it to accomplish their training tasks.
Alkhayyal and Bajaba (2024) examined technostress in virtual work environments and its relationship with employee well-being. Their findings connect technology-related stress with poorer well-being while identifying work-based learning and digital leadership as potentially protective factors. Although the study did not specifically evaluate LMS learning outcomes, it illustrates why technology-related frustration deserves organizational attention.
Martin and Bolliger (2022) conducted a systematic review of online learner satisfaction research. Their framework identifies learner-related, instructor-related, course-related, and organizational factors associated with satisfaction. Their work reinforces an important distinction: the learner's experience depends on more than the platform itself.
Together, these studies suggest that effective digital learning environments require attention to the technology, the instructional content, and the people using both.
What This Means at Work
Consider two employees completing the same required training.
The first logs into a clearly organized platform. The assignment is easy to locate. Instructions are understandable. The material relates to actual job responsibilities. Questions and scenarios encourage the employee to think about how the information applies at work.
The second encounters confusing navigation, unclear expectations, unreliable media, and a lengthy presentation with little connection to daily responsibilities.
Both employees may eventually complete the course, but their experiences are substantially different. This is particularly important when organizations rely on completion data to evaluate training. As explored in Why Most Training Metrics Are Misleading, completion is not competence.
A successful login does not demonstrate engagement. A completed module does not establish understanding. And a passing assessment does not necessarily demonstrate the ability to apply what was learned.
What to Do Instead
Organizations do not necessarily need a new LMS to improve digital learning. Many improvements begin with examining the experience employees already have.
Make navigation intuitive. Employees should know where to begin, what is required, and how to progress without unnecessary searching or repeated instructions.
Design worthwhile content. Use relevant examples, clear explanations, meaningful questions, realistic scenarios, and opportunities to practice. A beautifully designed platform cannot compensate for instruction that fails to support learning.
Reduce technostress. Minimize unnecessary steps, inconsistent layouts, unreliable features, and avoidable technical problems. Provide accessible assistance when employees encounter difficulties.
Support the learner. Give employees clear expectations, appropriate time, useful feedback, and opportunities to apply new knowledge. As discussed in Manager Buy-In Makes or Breaks Training, the workplace environment plays an important role in whether learning becomes performance.
Ask employees about their experience. Completion reports can identify who finished a course. They cannot explain why someone struggled to find it, what frustrated them, or whether the content felt useful. Ask those questions directly.
The Bottom Line
Digital training is a valuable organizational tool, but its effectiveness depends on more than delivering content and documenting completion.
The learning platform should make training accessible, understandable, and worthwhile. Its design should reduce unnecessary obstacles, while its content should give employees meaningful opportunities to learn.
An LMS is not simply a repository for courses. It is part of the learning environment. The learner's attention should be spent on learning the material, not overcoming the platform.
And before asking what features your next LMS should have, ask what kind of learning experience your employees actually need.
References
Alkhayyal, S., & Bajaba, S. (2024). Countering technostress in virtual work environments: The role of work-based learning and digital leadership in enhancing employee well-being. Acta Psychologica, 248, 104377. https://doi.org/10.1016/j.actpsy.2024.104377
Laghendorf, & Khalid. (2025). Systematic literature review on usability and training outcomes of using digital training technologies in industry. Computers in Human Behavior Reports. https://doi.org/10.1016/j.chbr.2025.100604
Martin, F., & Bolliger, D. U. (2022). Developing an online learner satisfaction framework in higher education through a systematic review of research. International Journal of Educational Technology in Higher Education, 19, Article 50. https://doi.org/10.1186/s41239-022-00355-5
