Post-ADL Continuity Assessment
Validate the state of your learning data ecosystem
Yet Analytics’ Post-ADL Continuity Assessment is a fixed-price, low-risk engagement designed to help defense, government, and industry teams understand what ADL’s closure means for their learning data strategy, xAPI/TLA modernization plans, and future AI-readiness.
For a limited time, the Starter assessment is available for a fixed fee price of $14,750.
Click here to get started.
Now More than Ever
With ADL closed, it is now more than ever important that organizations receive trusted guidance and assurance around learning data infrastructure.
Yet Analytics provides the open-source SQL LRS, IEEE LTSC standards expertise, and ADL implementation support to make training data portable, queryable, interoperable, and AI-ready.
We were ADL’s choice for xAPI.
And we’re ready to provide you with the same level of quality that led to the inclusion of our vetted TLA solutions in the Chief Digital and Artificial Intelligence Office’s Tradewinds AI Marketplace.
This opportunity is available to all defense, government, and industry organizations.
The 2-week assessment includes:
1. 60-minute kickoff with the sponsor and key stakeholders.
Purpose:
Confirm the organization’s training/learning data goals.
Identify the systems in scope.
Understand whether the concern is continuity, modernization, AI-readiness, interoperability, compliance, reporting, or all of the above.
Establish the target follow-on decision: roadmap, pilot, tech deployment, partner integration, or further discovery.
2. Stakeholder interviews
Up to three 45-minute stakeholder interviews. Suggested participants:
Training or learning program lead
Technical / data / platform lead
Acquisition / innovation /modernization
3. Document and artifact review of 10 provided artifacts, such as:
Architecture diagrams
LMS or LXP descriptions
Existing xAPI Profile drafts
Data strategy documents
Training modernization plans
RFP/SOW excerpts
Reporting/dashboard examples
ADL-related plans or references
Prior pilot documentation
Vendor integration notes
4. Learning data systems inventory
A lightweight inventory of the organization’s current learning data environment:
Source systems and data types
Existing standards
Data destinations
Reporting tools and integration gaps
Ownership boundaries
Known constraints
5. Post-ADL continuity risk scan
Exposure to the loss of ADL as a convening, guidance, and standards-support function.
Risk categories:
Standards continuity risk
Architecture risk
Vendor lock-in risk
Analytics risk
AI-readiness risk
Operational risk
Acquisition risk
6. xAPI / LRS / TLA readiness check
A practical maturity check scored across five levels:
Meaningful activity data
Platform-bound reporting
Standards-aware data capture
Interoperable learning record infrastructure
Operational learning data ecosystem
Scored readiness assessment across:
Data sources
Statement design
Profiles / vocabularies
LRS infrastructure
Query/reporting capability
Governance
Integration capability
Security and deployment constraints
Use of validated outcomes
7. AI-readiness screen
Assessing whether the organization’s learning/training data can support:
AI tutors and coaching
Performance prediction
Training recommendations
Skills inference
Readiness dashboards
Automated feedback
Scenario-based assessment
Human performance analytics
8. Findings memo
Containing:
Executive summary
Current-state observations
Key continuity risks
Learning data maturity score
xAPI/LRS/TLA readiness
AI-readiness implications
Recommended next steps
Suggested follow-on options
9. One-page roadmap
10. 60-minute readout briefing with stakeholders.
Includes:
Findings
Risks
Recommendations
Prioritized next steps
Suggested follow-on pilot or roadmap engagement
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