How to use data to optimize L&D strategy

This title was summarized by AI from the post below.

Training isn’t just an art — it’s a science. And data is the new fuel for L&D strategy. When we use data from LMS reports, surveys, and performance dashboards, we stop guessing what works and start proving what does. Three powerful ways to use data: • Identify learning trends (which modules drive performance) • Correlate training with key KPIs (sales, QA, retention) • Personalize learning paths (targeted microlearning for skill gaps) The most successful L&D teams aren’t the busiest. They’re the most informed. #LearningAnalytics #DataDrivenL&D #TrainingROI

This post is an outstanding example of the mindless mishmash sloshing about LinkedIn among L&D-ers lately. It's a bunch of buzzwords string together: Science! Data! Strategy! - Molecular biology is a science. Astrophysics is a science. "Training" is not a science. (neither is "learning," nor "cognitive," btw.) - An LMS is a digital library with a delivery system. It tracks its own use: access, requests, receipts, completions. That's what it does, so that's the data you're going to get. - The rest is magical thinking blah blah blah. How do you propose to prove a causation, not just a correlation, between a single e-learning module assignment and a team quarterly KPI? How will a completions dashboard uncover the challenges blocking the day to day workflows? How can learning be micro personalized ... at scale? I ❤️ my LMS; I'm a proud LMS alum. And I absolutely agree that we don't leverage the data available to us in meaningful ways. But real organizational impact doesn't come from generating a report on an LMS. Designing a real L&D strategy, like any other strategy, is an intentional, multifaceted, sensitive activity. It's not data driven. It's inspired, informed, and driven by human experience. Don't be facile.

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