AI enables L&D to move from proving learning happened to showing how learning changed behavior and performance.
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Topic: Measurement and Analytics
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Effective learning analytics requires measuring behavioral changes and organizational outcomes to demonstrate the true value of training.
Skill data helps organizations improve learning and measure skill development impact.
Skills are not just an HR concern—they are core business intelligence that can drive agility, performance, and strategic growth across the organization.
For the adoption of AI to be efficient and fully maximized in any organization, learning and development (L&D) groups should take a two-pronged approach.
Leaders who find ways to meaningfully engage their teams have a significantly greater impact and can elevate their organizations to new levels of success.
This article outlines best practices for evaluating leadership development impact, enriched with real-world examples from Workleap’s evolving approach.
In today’s exceptionally competitive business environment, organizations are investing significantly in learning and development (L&D) programs to ensure their workforce remains skilled, innovative and adaptable.
While most organizations use some form of it for employee training, the perception of measurement in L&D is not unanimously positive.
Measuring learning impact will evolve as the needs of your organization and learners change.