The first time we aim for a goal, follow a rule, or make a decision, we are engaging in single loop learning. This is where many people get stuck and keep making the same mistakes. If we question our approaches and make honest self-assessments, we shift into double loop learning. It’s similar to the Orient stage in John Boyd’s OODA loop. In this stage, we assess our biases, question our mental models, and look for areas where we can improve. We collect data, seek feedback, and gauge our performance. In short, we can’t learn from experience without reflection. Only reflection allows us to distill the experience into something we can learn from.
We can think of double loop learning as learning based on Bayesian updating — the modification of goals, rules, or ideas in response to new evidence and experience. It might sound like another piece of corporate jargon, but double loop learning cultivates creativity and innovation for both organizations and individuals.
~ (Shane Parrish) Farnam Street
My name is Chetan Conikee and I hate bios but it’s only fair that you know something about me. In my blogroll I will focus on sharing ideas that help others become better versions of themselves and make better decisions using double loop learning.
The Opinions Expressed in all posts Are My Own And Not Necessarily Those Of My Employer.