Why Live Training is a Top Priority in 2025
Live training is making a big comeback in 2025, and for good reason: it works. But it can be very hard to manage. This article helps you plan and schedule live training smarter.
Posts tagged with "Fill Rate"
Live training is making a big comeback in 2025, and for good reason: it works. But it can be very hard to manage. This article helps you plan and schedule live training smarter.
Blended learning—where online and classroom training components work together—has become the gold standard for many organizations. This model offers flexibility by allowing learners to engage with content at their own pace online, while also participating in hands-on classroom sessions that provide deeper interaction. However, managing blended training solutions can be overwhelming for training managers. They […]
Classroom training, whether in-person or virtual, remains a critical component of effective training programs, especially for complex or hands-on skills. Despite the rise of e-learning, classroom training often provides superior outcomes due to the direct interaction with instructors and peers. However, scaling this type of training presents unique challenges. The process of planning, scheduling, and […]
Younger workers – particularly GenZ workers – bring high and unique expectations to their workplaces, including how they’re trained. The research is clear enough that they value career-advancing L&D offerings very highly. But they in turn expect their companies to invest heavily in them. Importantly, they’re less willing to tolerate a workplace environment that doesn’t […]
Assessing a training initiative requires rigorous, repeatable processes. Anyone can look at a chart and find a trend line, but can you consistently tell that you’re looking at the right charts? And more than that, can you consistently describe why things happened? Developing a robust system for isolating and reporting on cause and effect in […]
Making data-driven decisions should start and end with data. That much should be obvious. What might not be as obvious is that there is still a place for more traditional resources like expertise and instinct, even when working with data. Accepting data at face value, without taking a critical view of its history, might mean […]