What Comes After ADL? A Practical Continuity Check for Learning Data
With ADL now closed, a lot of organizations are facing the same quiet but important question… what happens next?
For teams working on xAPI, Total Learning Architecture, training modernization, learning analytics, AI-readiness, or interoperable learning data, Advanced Distributed Learning (ADL) was more than a program office. It was a source of guidance, coordination, standards support, research, and practical direction. Its absence creates real continuity questions for defense, government, and industry teams that still have missions to support and systems to modernize.
That is why Yet Analytics is offering a Post-ADL Continuity Assessment. It is a fixed-price, two-week engagement designed to help organizations understand where they stand now, where their learning data strategy may be exposed, and what practical next steps make sense. The assessment looks at current systems, data sources, xAPI and LRS readiness, architecture gaps, interoperability risks, AI-readiness, reporting needs, governance issues, and modernization priorities.
The goal is not to produce a giant report that sits on a shelf. Instead, we are seeking to help organizations gain clarity on where they are, where they want to go, and what is needed in a post-ADL world. Through a kickoff, stakeholder interviews, document review, a learning data systems inventory, a continuity risk scan, and a readiness check across xAPI, LRS, TLA, and AI use cases, organizations receive a findings memo, a one-page roadmap, and a stakeholder readout with prioritized recommendations. Depending on the customer’s situation, we are ready to produce a memo and roadmap that addresses not just xAPI, but the broader TLA matters of learning metadata, competencies, and enterprise records.
Yet Analytics has spent years building open-source learning data infrastructure, supporting xAPI implementation, contributing standards expertise, and helping organizations make training data portable, queryable, interoperable, and ready for the next generation of analytics and AI. If your team relied on ADL’s guidance, participated in TLA modernization efforts, or is trying to understand how to move forward with learning data infrastructure, this assessment is a practical place to start. We invite you to get in touch directly or read more about the offering by clicking the button below.