Why Traditional LMS Analytics Give You Vanity Metrics Instead of Actionable Training Data
Your learning management system's completion rates and time-spent metrics are telling you almost nothing useful. A 92% completion rate only confirms that learners clicked "finish," not that they understood the content or retained critical information. When your LMS reports an average time of 23 minutes per course, you have no idea if learners were actively engaged or multitasking through mandatory training. Most frustrating of all, a 78% pass rate doesn't reveal which 22% of employees failed, why they struggled, or—most critically—which specific content caused the confusion. This is the Black Box Problem plaguing corporate training: learners enter, completion statuses emerge, but everything that actually matters happens invisibly in the middle. Traditional LMS reporting gives you data to celebrate, not data to act on, leaving learning and development teams blind to the exact moments when training breaks down.
Scene-Level Learning Analytics That Show Exactly Where Training Fails
REACHUM replaces vanity metrics with granular, scene-level analytics that reveal precisely where learners struggle, disengage, or fail to comprehend critical information. Instead of generic completion data, you see that 73% of learners spent four minutes on scene 14, replayed it twice, then failed the subsequent quiz—actionable intelligence that tells you exactly which content needs rewriting before more employees fail. REACHUM's learning analytics platform identifies which scenes lose attention, where learners repeatedly get stuck, and who needs intervention before they fail certification, transforming your training data from a congratulatory dashboard into a diagnostic tool. When you can see the exact moment training effectiveness breaks down, you stop celebrating meaningless completion rates and start fixing the specific failures that cost your organization time, money, and compliance risk.
You can't fix what you can't see.