Learning in the Workflow: Quicksilver

The success of organizations operating in a dynamic and rapidly changing economy is often linked to its ability to react quickly and build employee capacity. Many organizations are discovering that transitioning from traditional training approaches to “Workflow Learning” is improving their training outcomes. So, can learning in the workflow make training more nimble and improve the quality of training?
On today’s video episode of Quicksilver: A Behind the Scenes Look at The eLearning Alchemist Podcast, co-hosts Clint Clarkson and Daniel Litwin discuss Workflow Learning and why it has become a crucial component of successful learning strategies.
The term Workflow Learning was coined by one of the most respected individuals in the corporate learning field, Bob Mosher. Bob has spent his career working with organizations to create learning solutions that are more flexible and in-tune with how businesses are run.
“Ultimately, our charge as learning professionals is to impact work, impact performance.” Bob said in an earlier interview. “I think all of us know that the most powerful and meaningful learning in our lives has occurred in the process of ‘doing.’”
According to a Training Industry Report, American companies spent $83 billion on corporate training in 2019, while numerous studies suggest that much of what is taught is quickly forgotten. So, while organizations are spending billions on training, they aren’t necessarily getting the results they desire.
Bob says that: “Rule number one: If they can’t get to it, they will not consume it. Period. And it has to be very innately and intuitively in the workflow—I don’t have to walk across the building; I don’t have to wait for a coach to answer my calls. Those are not accessible.”
Learning in the workflow is a different approach to the ongoing challenge of rapidly upskilling employees to adapt to customer and market needs; however, most L&D teams aren’t yet equipped with the skillset to bring workflow learning to life. Business leaders should look to their L&D team to build their ability to develop workflow learning if they want learning to lead to business results.

Listen to previous episodes of The eLearning Alchemist!

Follow us on social media for the latest updates in B2B!

Image

Latest

healthcare
From the C-Suite to the Classroom: A Healthcare Leader’s Bet on the Next Generation
May 25, 2026

Healthcare isn’t short on strategy right now—it’s short on people, access, and experienced leadership where it matters most. In Texas alone, more rural hospitals have closed than in any other state over the past decade, leaving entire communities with limited access to care. At the same time, many health systems are realizing they haven’t…

Read More
AI
The AI Health Score: Turning Hallucinations, Agents, and AI Risk Into Board-Ready Insight
May 24, 2026

As artificial intelligence moves deeper into enterprise operations, many organizations are discovering that the real challenge is not adoption, but control. Traditional software has always been predictable: the same input produces the same output, making it possible to audit systems at a fixed point in time. AI changes that equation. Jeff Carson, founder of…

Read More
TheAIAudit
Introducing TheAIAudit: A Platform Built to Measure, Monitor, and Govern Enterprise AI
May 22, 2026

Enterprise AI is advancing faster than most companies can govern it. Behind the scenes, AI systems are already influencing decisions tied to revenue, operations, compliance, customer outcomes, and risk — yet many organizations still lack a clear way to measure, explain, or oversee what those systems are doing. That is the gap TheAIAudit was…

Read More
Leadership
How the Future of Work Is Being Reshaped by AI, Human Creativity, and Customer-Centered Leadership
May 21, 2026

As artificial intelligence rapidly reshapes industries, many professionals are asking the same urgent question: what happens when AI starts replacing not just repetitive tasks, but the foundational entry-level roles that once launched careers? According to Goldman Sachs Research, AI could expose the equivalent of 300 million jobs globally to automation, while potentially automating tasks…

Read More