There has been a transformative shift in workplace learning, moving away from generic training methods to a more tailored approach driven by data. This new strategy emphasizes understanding the specific needs of employees, such as performance insights and feedback, to create effective training programs. Companies are leveraging learning analytics to identify areas for improvement, such as course engagement, completion rates, and employee sentiment toward training. This personalized approach enables organizations to develop smarter learning experiences that address actual skills gaps and support employee growth.
Learning analytics is the behind-the-scenes engine that makes data-driven upskilling work. It shows which parts of a course people skip or repeat, how long they spend on each section, and how employees feel about the training afterward.
Data-driven upskilling is the opposite of generic training. It emphasizes understanding specific needs of teams, such as support staff struggling with tools, and crafting training to address real gaps.
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