This guide walks through common mistakes in LMS and curriculum design, in a before/after format. These mistakes are nothing unusual. What matters is knowing how to fix them.
Key points
- Five common mistakes, each shown as a before and after
- Each one comes with a takeaway on why it happens
- Use the checklist at the end to review your own content before publishing
Mistake 1: Giving everyone the same path
Before
- The same learning path assigned to every employee
- Content for managers and frontline staff mixed together
Result
- People who find it too hard drop out
- People who find it too easy just go through the motions
After
- Separate paths for each role
- Restructured into a shared part plus role-specific parts
Takeaway: Recognize that "the same for everyone" isn't actually fair.
Mistake 2: Lessons that are too long
Before
- 60–90 minutes per lesson
- Video, handouts and explanations all crammed in
Result
- Lots of learners drop off partway
- Hard to review later
After
- Split into 10–20 minute chunks
- One topic per lesson
Takeaway: An LMS isn't a place to learn everything in one sitting. It's a place people come back to again and again.
Mistake 3: Quizzes that are just a formality
Before
- Every question is true/false
- No explanation once you answer correctly
Result
- Learners can pass without actually learning anything
- You can't measure understanding
After
- Questions that make learners think about why they chose an answer
- The reason an answer is right or wrong is always shown
Takeaway: Design quizzes as a learning tool, not a filter.
Mistake 4: Publishing AI-generated content as is
Before
- AI-generated quizzes published without anyone checking them
- Content drifts from company rules
Result
- More questions from the field
- Loss of trust
After
- AI output treated strictly as a draft
- Human review made mandatory
Takeaway: AI is a tool for working faster. It isn't the one accountable for the content.
Mistake 5: Designing without a clear goal
Before
- "Let's just get them learning something"
- No criteria for success
Result
- Nobody knows what was achieved
- Nothing to improve against
After
- Goals defined in terms of behavior
- Completion criteria written down
Takeaway: If you haven't set a goal, you can't improve either.
Checklist for avoiding these mistakes
Is it clear who the training is for?
Does each lesson cover one topic?
Do the quizzes explain the reasoning behind answers?
Has a person checked everything AI generated?
Related guides
The next guide covers how to improve your content once it's built.
