The challenge
LMS migrations are rarely clean because the platform carries years of decisions. Content structure, historical records, reporting expectations, user groups, integrations, and admin habits all come along for the ride.
The first instinct in many organizations is to overtrust the demo. Demos show ideal paths. Migrations expose edge cases, missing data, and operational debt.
The risk in this story included technical and operational damage. A poor platform decision can increase admin work, frustrate learners, weaken reporting, and make L&D look less credible.
The approach
I learned to score platform decisions against the operating model. Who uses it? Who maintains it? What data matters? What reporting questions must it answer? What content standards does it need to support?
I also learned to separate vendor confidence from evidence. A vendor saying "yes" still needs a tested workflow, a clean data sample, and a reporting proof point.
For customer learning, the LMS had to be tested like a public product. Launch, resume, completion, score, audience access, and reporting were release criteria from the start.
Downloadable takeaway
A one-page version of the model with the decision questions, sequence, metrics, and red flags someone can use after reading the case.
What I built
Mapped migration risk by root cause
Each migration had a different root cause: cost, infrastructure and governance, and organizational consolidation.
That helped keep the conversation honest. A cost problem needs a different decision model than a data problem or a customer experience problem.
Created selection discipline
We looked across 21+ platforms, narrowed to finalists, and treated use cases as the scoring backbone.
The scorecard weighed learner experience, admin workflow, reporting, integration fit, content support, migration complexity, and vendor support.
Protected the migration path
Zero data loss took active work. Historical records needed cleanup, validation, and manual remediation.
SCORM means a package standard the LMS uses to launch and track learning. xAPI means a learning data standard for richer activity records. Both mattered because technical tracking had to match the business reporting promise.
Operating artifacts
These are sanitized work-product examples. They show the kind of artifact I would expect the team to use. They are sanitized and exclude confidential company material.
LMS Selection Scorecard
LMS Selection Scorecard
A buyer-ready view of how platform decisions should be scored before contract pressure takes over.
Data Migration Checklist
Data Migration Checklist
The control points needed to protect records before go-live.
LMS and Reporting Architecture
LMS and Reporting Architecture
A practical map of the systems around the LMS and the LMS itself.
The results
The operating insight
A good LMS decision is less about the prettiest learner interface and more about operational fit. If admins cannot run it, data cannot be trusted, or reporting cannot answer the business question, the platform will keep creating work.
The out-of-the-box move is to score the failure modes before the demo. Ask what breaks when volume rises, data is messy, or the business needs a report next week.
What this proves
- I can lead platform evaluation with business discipline.
- I understand migration risk across data, learner experience, admin workflow, and reporting.
- I require proof behind vendor confidence.