Framework
What should training change: knowledge, skill, behavior, or performance?
A practical framework for defining the workplace outcome training should produce and choosing evidence that matches it.
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Workplace training
Create training around the work employees must actually perform. This collection brings together practical guidance on diagnosis, design, practice, measurement, knowledge systems, and responsible AI.
Published by LoreGraph
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A practical framework for defining the workplace outcome training should produce and choosing evidence that matches it.
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The principles behind LoreGraph: capability before completion, active practice, honest evidence, human review, and learning that can survive the workplace.
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See how July’s work strengthened LoreGraph’s document-to-training workflow, learner access, source reuse, and generation reliability.
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A practical framework for L&D teams to govern AI-created training through standards, reviews, measurement, and maintenance.
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Use a seven-level framework to match training claims with evidence—from participation and reaction to workplace application and results.
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Learn why workplace training fades and how retrieval, spacing, relevant practice, and performance support can build more durable capability.
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Learn how to design training that employees remember later and can apply when the task, timing, or workplace context changes.
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Learn why completion records participation rather than durable capability—and how to measure retention, transfer, and workplace application instead.
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Learning is more than reading documents or finishing courses. Learn the difference between information, learning, and workplace performance.
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