Too many corporate learning experiences are overwhelming, inaccessible and ineffective. They bombard learners with too much information, force content into ineffective formats and fail to engage or drive meaningful change. If learning is supposed to make things easier, why does it so often feel like we just make it harder?

It’s time for learning and development (L&D) professionals to rethink how we design training. We need to break free from the eLearning default and design with cognitive overload in mind. We need to stop writing lazy assessments that don’t measure anything useful. How can we address the biggest problems in learning and replace them with better options? Let’s dig in.

1. Accessibility and Cognitive Overload: If It’s Hard to Learn, It’s Bad Design

Often, learning experiences are designed for aesthetics or engagement but completely ignore cognitive load. This leads to overwhelmed, frustrated learners. Cognitive load theory (CLT)  and Mayer’s multimedia principles provide clear guidance for reducing unnecessary mental effort:

  • Reduce unnecessary media and distractions: Background music, excessive animations and complex navigation create mental clutter that distracts from learning. Aim to reduce or eliminate elements that don’t directly support learning goals — and where possible, make them optional.
  • Avoid redundant narration: Reading slides word-for-word while displaying the text leads to the redundancy effect, which can impede learning rather than reinforce it.
  • Consider color contrast and font legibility: Low-contrast text or decorative fonts make content inaccessible, especially for those with visual impairments. Follow Web Content Accessibility Guidelines to ensure readability.
  • Utilize chunking and scaffolding: Dense content can be overwhelming and should be broken into digestible sections and introduce complex topics gradually, building on prior knowledge. These techniques reduce overload and support long-term retention.

Audit learning materials for cognitive overload and accessibility issues using WCAG standards and Mayer’s principles. Test courses with neurodivergent learners such as those with ADHD or dyslexia—if it works for them, it’s likely more effective for everyone. Reduce unnecessary visual, audio and navigation distractions that don’t add learning value.

2. Text-Heavy Slides With No Meaningful Reflection or Application

E-learning should not be a glorified PowerPoint deck. If a course is just information on a screen, no amount of clicking makes it interactive. If learners don’t pause to reflect or apply what they’ve learned, they’re not going to remember it.

  • Clicking “Next” is not engagement: Learners need to think, make decisions, and apply what they’re learning — not simply progressing through screens.
  • Firehose learning doesn’t stick: Cramming in too much text without time to reflect on or apply learning leads to cognitive overload and low retention.
  • Real-world application drives behavior change: If learners can Google the answer, they don’t need a course. True learning requires space to reflect, practice and apply.

Use active, scenario-based learning to replace passive slides with problem-solving challenges and real-world scenarios.  Design opportunities for self-reflection, peer discussions and application exercises. Encourage decision-making exercises where learners apply knowledge rather than memorize it.

3. Poorly Written Multiple-Choice Questions (MCQs) and Learning Objectives

Bad assessments and vague objectives undermine the credibility of training. If learning objectives start with “Understand,” what are we actually measuring? If multiple-choice questions rely on “All/none of the above” as the correct answer, you’re not measuring anything meaningful.

  • Weak learning objectives lead to weak outcomes: Instead of “Understand cybersecurity risks,” try “Identify and mitigate cybersecurity risks in daily operations.” Clear objectives set a benchmark for what success looks like.
  • Bad MCQs encourage guessing, not learning: Eliminate “All/none of the above” and avoid trick questions. These encourage guessing and create frustration, failing to reinforce key takeaways.
  • Scenario-based questions work best: Instead of “Which of the following is correct?” try “What would you do in this situation?” This kind of performance-based assessment measures critical thinking and practical application — not just recall.

Effective assessments depend on measurable learning outcomes that define what learners will do differently after training. Write scenario-based questions to test real-world application instead of rote memorization. Evaluate decision-making and critical thinking rather than just recall.

4. Misaligned Formats: Not Everything Belongs in eLearning

One of the most common mistakes in corporate training design is forcing content into the wrong format.

  • Not everything needs an eLearning course: If learners only need a quick reference, they need a job aid, not a 60-minute module.
  • Soft skills require conversation: Leadership, coaching and emotional intelligence skills should be interactive discussions, not multiple-choice questions.
  • Leverage blended approaches: Many training needs can be better met through mentoring, shadowing or hands-on activities.

Use a decision matrix to determine when to use eLearning, job aids, coaching or hands-on practice. Pilot alternative formats (e.g., peer coaching, microlearning, simulations) to test effectiveness. Track learning effectiveness, not just completion rates, and measure behavior change and performance impact.

5. Clarity Over Length

Instructional design should prioritize clarity, cognitive ease and application over aesthetics and engagement gimmicks. If learners are exhausted by a course, they won’t remember or apply anything, making the entire training effort pointless. It’s not about making courses gamier or longer, it’s about making them more effective in a measurable way.

When in doubt, simplify. Clear, concise design helps learners focus on what matters most. That doesn’t mean cutting corners — it means cutting clutter.

To support clarity:

  • Design for accessibility: It’s not just about compliance—it’s about making content usable and readable for everyone.
  • Promote meaningful interactivity: Engagement should require thought and action, not just clicks and animations.
  • Choose the right format: Sometimes the clearest way to teach something isn’t a course at all. Consider job aids, live sessions or practice-based learning instead.

Ultimately, L&D teams should focus less on building content-heavy modules and more on creating learning ecosystems—blended environments that use the right tools for the right goals.

Final Thoughts

When we fix broken learning design, we don’t just improve training — we empower learners, teams and organizations to perform better. That’s what great L&D is all about: building experiences that are thoughtful, inclusive and aligned with real performance outcomes. The work starts with better design.