“It’s, you know, all but hardwired to resist failure, to not want to be blamed. You know, it's an instinct that's very, very powerful because we don't want to be rejected. We don't want to be thought less well of, which is why, you know, the things that I write about and let's face it, organizations that are truly world class, whether it's a scientific laboratory or, you know, an innovation department, or you know, a perfectly running assembly line, they are not natural places, right? They're not just left to their own devices, humans will create places like that. No, they're really hard work, good design, good leadership, kind of daily willingness to kind of stretch and grow independently and together. And the short way to put that is it takes effort to create a learning environment. It really does, but it can be done.”

So says Amy Edmonson, the Novartis Professor of Leadership and Management at the Harvard Business School. Early in her career, she worked as the Chief Engineer for architect and inventor Buckminster Fuller, which started her on the road to reimagining how we’re all impacted by the world around us. She then became the Director of Research at Pecos River Learning Centers, where she designed change programs in large companies. Now she’s an academic, where she focuses on how teams function and evolve, along with the essential dynamics of collaboration required in environments that are informed by uncertainty and ambiguity. What sort of environments are those? Almost all work environments. A significant point of her research and focus is the necessity of psychological safety in teamwork and innovation—effectively, how do you create an environment where people feel like they can fail in the right direction, where they’re learning and taking risks toward evolution and growth even when they might not get it right the first few—or few hundred—times? This is the focus of her latest book, Right Kind of Wrong: The Science of Failing Well. 

MORE FROM AMY EDMONSON:

Right Kind of Wrong: The Science of Failing Well

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