How small, timely learning moments can make big shifts in performance
Learning at work has always happened in small, natural moments. A quick team huddle where someone shares a smarter way to handle a client query, a manager offering instant feedback after a presentation, or a colleague showing a faster Excel shortcut are all examples of learning in motion.
The formal term for this concept, “Learning in the Flow of Work,” was introduced by learning expert Josh Bersin. It refers to learning that takes place right within the workflow rather than outside it. The idea is simple; people learn best when knowledge appears exactly when they need it.
Why It Works
At Athiya, we have seen this approach bring meaningful results. During one of our communication workshops, participants received Athiya Quick Tips just before their client calls. These short reminders on tone, phrasing, and empathy helped employees immediately apply what they had learned. The result was smoother client interactions and a noticeable boost in confidence. One participant even joked, “That tip was like a seatbelt; it kept me from saying the wrong thing.”
Research supports this approach. Studies by SAP and LinkedIn Learning show that employees who learn as they work are more productive, less stressed, and more likely to retain new knowledge. When learning is relevant and immediate, it stays longer in memory and feels more useful in daily practice.
AI Is Changing the Game
Now, with AI tools like ChatGPT and Microsoft Copilot, learning in the moment has become even more seamless. These tools can suggest phrases, summarize updates, or offer quick refreshers mid-task. Imagine drafting a client proposal and your AI assistant offering a more concise opening line, or getting a quick policy summary while preparing for a team discussion. These small moments, when guided well, can add up to big shifts in how teams perform.
However, while AI makes access to knowledge easier, it should not define the learning agenda. Without thoughtful direction, learners may absorb fragmented or irrelevant information. The L&D team’s role is therefore more vital than ever; ensuring that what AI provides aligns with organizational goals, learning priorities, and behavioural outcomes. AI can support learning brilliantly, but it is human strategy and insight that give it purpose and direction.
Tips to Make It Work
Organizations adopting this approach often combine structured workshops with in-the-moment reinforcements. After a leadership session, for instance, short reminders, reflection prompts, or chat-based learning nudges can help sustain learning long after the workshop ends. Similarly, frontline teams can receive quick checklists or micro videos that refresh best practices before critical tasks.
Final Thought
Ultimately, learning in the flow of work is about creating a culture where growth is continuous, supported, and easy to access. It recognizes that people do not need more training; they need the right learning at the right time. When designed thoughtfully, it turns every workday into an opportunity for development, reflection, and improvement, all without disrupting the rhythm of getting things done.
At Athiya, we believe learning should move at the speed of work; when learning meets people where they are, it truly becomes part of how organizations grow.
