Definition
Identifying problem slides means using learner data to pinpoint the exact screens, questions, or interactions that cause confusion, drop-offs, or delays. Instead of guessing what needs improvement, teams can see precisely where courses stop working.
Why this matters
Most course improvements happen by intuition:
"That section feels long."
"Learners probably struggle here."
"Maybe we should simplify this slide."
But feelings are unreliable.
Real improvement comes from evidence.
When you can see where learners hesitate, fail, or abandon a course, design decisions stop being opinions and start becoming solutions.
The hidden reality of most courses
Completion reports alone hide important problems:
A course can look successful on paper while quietly frustrating everyone who takes it.
What "problem slides" look like
Common signals include:
These are not random quirks. They are design clues.
What you can discover with better analytics
With slide-level insight, teams can answer:
- Which screens confuse learners?
- Where do people stop paying attention?
- Which interactions are too complex?
- Which instructions are unclear?
- Which assessments are poorly written?
- What content is unnecessary?
This transforms course maintenance from guesswork into targeted improvement.
Typical causes of problem slides
Problem areas often come from:
Overly dense text
Too much information on one screen
Confusing instructions
Unclear what learners should do
Misaligned assessments
Questions that don't match content
Complex interactions
Mechanics that distract from learning
Jargon or unclear language
Terminology learners don't understand
Missing context
Content that assumes prior knowledge
How to act on problem slide data
Once you identify problem areas:
Prioritize by impact
Focus on slides with the highest drop-off or failure rates first
Review the actual content
Look at the slide with fresh eyes knowing learners struggle there
Simplify or clarify
Reduce text, improve instructions, or break into multiple screens
Test changes with new learners
Compare data before and after updates
Repeat the cycle
Continuous improvement based on real behavior
Best practices for finding problem slides
- Look for patterns across multiple learners, not individual cases
- Compare similar slides to identify what makes some work better
- Check timing data alongside completion data
- Review quiz questions where most learners fail on first attempt
- Track changes over time to see if improvements work
Frequently asked questions
Can we identify problem slides without xAPI?
Yes. SCORM interaction data and timing information can reveal many problem areas when analyzed properly.
How many learners do we need before patterns are meaningful?
Generally, patterns become reliable with 30+ learners, but larger samples provide more confidence.
Should we fix every problem slide?
Focus on high-impact issues first — slides with the highest failure rates or most significant drop-offs.
Find Your Problem Slides
Happy Alien Analytics surfaces the exact slides, questions, and interactions causing learner friction — so you can fix what matters.
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