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Analysis

Interpretation built for decisions.

Reviewed learning-technology analysis that explains what the evidence means, where uncertainty remains and what a practitioner or leader should consider next.

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Our analysis explains documented product behaviour, release availability and implementation requirements. It links to the sources, distinguishes our recommendations from product facts and shows what still needs checking.

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Reviewed decision briefs

13 briefs · showing 1–12

Published intelligence · Release analysis · high impact

SAP SuccessFactors Learning 2H 2026: what Learning AI changes, and who can use it

Learning AI is moving from recommendations towards assignments, compliance actions and skills-based development. Check what SAP documents, what is restricted to Early Adopter Care, and what your team should test before adoption.

Evidence D · Preview and release preparation · updated 18 Oct 2026
Published intelligence · Market analysis · high impact

Are enterprise learning platforms converging on AI assistants and agents?

Cornerstone, Docebo and 360Learning describe assistants and agents for different tasks, including course questions, coaching, search, analytics and administration. Compare the task you need to perform, the data each tool can access and the approvals it requires. Confirm availability for each feature.

Evidence C · 6 months · updated 30 Sept 2026
Published intelligence · Integration analysis · high impact

When does LTI 1.3 matter in an enterprise learning stack?

LTI 1.3 supports launching external learning tools and exchanging context. Confirm the services your workflow needs, then test identity, permissions, data sharing and support responsibilities.

Evidence C · Now · updated 30 Sept 2026
Published intelligence · AI capability analysis · high impact

What should teams test before using Oracle Learning Tutor?

Check which information Learning Tutor uses, what it records and how it handles incorrect or uncertain answers. Test whether it helps learners complete a defined task.

Evidence C · Now · updated 30 Sept 2026
Published intelligence · Implementation analysis · high impact

How should Oracle Learning compliance assignments be designed?

Define who needs mandatory training, when it is due, how completion is recorded and when it must be renewed. Test audience rules and exceptions before automating assignments.

Evidence C · Now · updated 30 Sept 2026
Published intelligence · Skills architecture analysis · high impact

How should Oracle Dynamic Skills be governed?

Agree who maintains Dynamic Skills data, how inferred skills are reviewed and which decisions can use them. Check those responsibilities before automating recommendations or mobility decisions.

Evidence C · 6 months · updated 30 Sept 2026
Published intelligence · Skills architecture analysis · high impact

How should Workday Skills Cloud be governed?

Before using Skills Cloud for recommendations or workforce decisions, agree how skills are inferred, checked, updated and challenged. Identify which decisions may rely on that data.

Evidence C · 6 months · updated 30 Sept 2026
Published intelligence · AI capability analysis · high impact

How should Workday Learning AI tutors be evaluated?

Test an AI tutor against a specific learning task and approved sources. Check incorrect answers, escalation, permissions and accessibility, then compare the results with your existing approach.

Evidence C · 6 months · updated 30 Sept 2026
Published intelligence · Content operations analysis · high impact

How should AI-assisted course authoring be governed?

AI can help produce a first course draft. Keep a named reviewer, record the sources and check accuracy and accessibility before publication. Measure review and maintenance time as well as drafting time.

Evidence C · Now · updated 30 Sept 2026
Published intelligence · Product change analysis · high impact

What changed with Workday Learning, powered by Sana?

Workday combines learning administration with Sana’s AI tutoring, authoring and search. Check how content, permissions, people data and migration responsibilities fit together before planning an upgrade.

Evidence C · Now · updated 30 Sept 2026
Published intelligence · Capability analysis · high impact

What changes when Learning integrates with Talent Intelligence Hub?

Talent Intelligence Hub supplies shared skills and competency attributes to Learning. Agree who checks those attributes, maintains the taxonomy and links skills to content and recommendations before enabling them.

Evidence C · 12 months · updated 30 Sept 2026
Published intelligence · Implementation analysis · high impact

How should User Connector – SF field mapping be designed?

Start with the Learning decisions each field must support, then map only controlled Platform attributes with an identified owner, transformation rule and reconciliation method.

Evidence C · Now · updated 30 Sept 2026