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I Don’t Read LMS Reports. I Interpret Them.




Whenever I join a new vessel, I look at the LMS early on.


Not to draw conclusions.


Just to understand what learning has looked like before I arrived.



On my last contract, the completion figures were low.


That alone didn’t tell me much.


There hadn’t been a dedicated L&D presence for some time, so the numbers needed to be read in context, not isolation.



That’s how I’ve learned to work.



My way of operating is consistent.



First, I experience the learning myself. I practice the modules—not to audit them, but to feel them as a learner.


Then I widen the lens.



I speak with onboard leadership.


I engage department heads and managers.


And I spend time with crew—continuously, across departments—to identify exact pain points.



Language. Flow. Assumptions. Technical friction.


Learning rarely breaks randomly. It breaks at predictable points.



When I read the LMS data alongside these conversations, a clear pattern emerged.


This wasn’t resistance.


It was struggle.



Modules heavy in language.


Content assuming prior knowledge.


Systems creating friction instead of flow.



So I don’t circulate LMS reports blindly.


I interpret them first.



What needs clarity?


What needs better positioning by leadership?


What needs fixing—content, context, or system?



Only then do I take insights forward. Strategically. With intent.



During my appraisal cycle, the Captain wanted one specific training completed shipwide.



The scale was real—close to 1,800 crew members, multiple turnaround ports, month-long itineraries.



We didn’t chase completion.


We removed friction.



Through sustained inputs, steady leadership alignment, and deliberate follow-up, completion reached 100%. More importantly, learning regained credibility onboard.



Over time, that consistency earned trust. I was invited into the weekly Captain’s review—not to present numbers, but to interpret learning data and support operational decisions.



That’s how I use LMS data.



Not as a dashboard.


As intelligence.



Data that deserves time, judgment, and care—so learning supports operations, not just completion targets.







 
 
 

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