Institutional memory should not depend on a vendor contract
Organizations remember through their records. When learning records live only inside platforms that get replaced every few years, the organization forgets.
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Blog
Blog
Practical writing on learning data: migrations, preservation, audits, governance and the reasoning behind how we build.
Neutral by design: why we chose not to build an LMS
The easiest product to sell is another platform. We built a layer instead, and the reason is structural.
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xAPI, exports and APIs: why lineage matters more than the connection method
Teams argue about which integration method is best. The more important question is whether you can trace every number back to where it came from.
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Why AI pilots in learning stall, and the inventory that unblocks them
It is rarely the model. Pilots stall because nobody can say what data exists, who owns it, whether it may be used and whether it is accurate.
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The content you pay for and nobody uses: running a portfolio audit
Most organizations maintain content they should have retired and pay for content nobody opens. A portfolio audit makes both visible.
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What auditors actually ask, and why a completion rate is not an answer
The question is never how many people finished the course. It is who completed which version, when, under which requirement, and can you prove it.
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One person, five identifiers: reconciling learner identity across systems
The same learner appears as an LMS username, an employee ID, a student number and two email addresses. Here is how to merge them without merging the wrong people.
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The ninety-day decommission plan: what to capture before a platform goes dark
A contract end date is a hard deadline for data. Here is a practical plan, week by week, for capturing everything a retired platform holds.
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Seven lessons from LMS migrations that lost data, and how to avoid them
Every LMS migration we have reviewed lost something. Sometimes it was noticed months later, sometimes during an audit. These are the patterns, and the practical steps that prevent them.
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Why learning data ends up fragmented, and why it keeps happening
Most organizations did not plan to run three learning platforms and a folder of exports. It happened one decision at a time. Understanding how helps explain why the fix is a layer, not another platform.
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Tell us which systems you run and we will show how the platform connects, normalizes and preserves their records.