Unlocking Potential: Mastering Double-Loop Learning for Personal and Organizational Growth
We are often taught single-loop learning from a young age, but there's a more effective approach. Double-loop learning offers a powerful method for personal and organizational development by encouraging us to question our underlying assumptions and beliefs. It's about going beyond simply correcting mistakes to understanding why those mistakes happened in the first place.
Understanding Single-Loop Learning
The first time we aim for a goal, follow a rule, or make a decision, we are engaging in single-loop learning. Single-loop learning occurs when errors are detected and corrected without altering the governing values of the master program. This is where many people get stuck and keep making the same mistakes. Single-loop learning is a type of learning which builds upon preexisting ideas, values or beliefs and does not question that preexisting knowledge.
Chris Argyris compares single-loop learning to a typical thermostat. It operates in a homeostatic loop, always seeking to return the room to the temperature at which the thermostat is set. A thermostat might keep the temperature steady, but it doesn’t learn.
The Power of Double-Loop Learning
If we question our approaches and make honest self-assessments, we shift into double-loop learning. Double-loop learning entails the modification of goals or decision-making rules in the light of experience. In double-loop learning, individuals or organizations not only correct errors based on existing rules or assumptions (which is known as single-loop learning), but also question and modify the underlying assumptions, goals, and norms that led to those actions. The first loop uses the goals or decision-making rules, the second loop enables their modification, hence "double-loop".
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. - Hunter S. 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.
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By contrast, double loop learning would entail the thermostat’s becoming more efficient over time. Is the room at the optimum temperature? What’s the humidity like today and would a lower temperature be more comfortable? The thermostat would then test each idea and repeat the process.
The Origins of Double-Loop Learning
The concept of double-loop learning was introduced by Chris Argyris in the 1970s. Senge drew heavily on the work of Chris Argyris, who first introduced the concept of double-loop learning. Argyris's research focused on how individuals and organizations learn from their experiences, and he found that most learning was "single-loop," where people simply corrected errors without questioning the underlying assumptions that led to them. Double Loop Learning is a concept in organizational learning that involves challenging and changing underlying assumptions, norms, and policies to achieve deeper and more effective learning.
Double-loop learning has its origins in cybernetics and Gregory Bateson’s levels of learning - each level requiring a completing different way of thinking and skillsets. Bateson coined the term deutero learning to capture the nesting effect of the levels.
Action Science and the Importance of Reflection
Double loop learning is part of action science - the study of how we act in difficult situations. Individuals and organizations need to learn if they want to succeed (or even survive). Even smart, well-educated people can struggle to learn from experience. Not learning can actually make you worse off. The world is dynamic and always changing. If you’re standing still, then you won’t adapt.
Many of us are so focused on solving problems as they arise that we don’t take the time to reflect on them after we’ve dealt with them, and this omission dramatically limits our ability to learn from the experiences. Reflection, however, is an example of an approach I call first-order negative, second-order positive. It’s got very visible short-term costs - it takes time and honest self-assessment about our shortcomings - but pays off in spades in the future. The problem is that the future is not visible today, so slowing down today to go faster at some future point seems like a bad idea to many.
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Overcoming Defensive Reasoning
Argyris wrote that many skilled people excel at single loop learning. It’s what we learn in academic situations. But if we are accustomed only to success, double loop learning can ignite defensive behavior. Argyris found this to be the reason learning can be so difficult. It’s not because we aren’t competent, but because we resist learning out of a fear of seeming incompetent. Smart people aren’t used to failing, so they struggle to learn from their mistakes and often respond by blaming someone else.
Argyris found that organizations learn best when people know how to communicate. Leaders need to listen actively and open up exploratory dialogues so that problematic assumptions and conventions can be revealed. Meaningful learning doesn’t happen without focused effort.
Breaking Self-Fulfilling Cycles
The problem is that single loop processes can be self-fulfilling. Consider managers who assume their employees are inept. They deal with this by micromanaging and making every decision themselves. Their employees have no opportunity to learn, so they become discouraged. They don’t even try to make their own decisions. This is a self-perpetuating cycle.
For double loop learning to happen, the managers would have to let go a little. Allow someone else to make minor decisions. Offer guidance instead of intervention. Leave room for mistakes. In the long run, everyone would benefit. The same applies to teachers who think their students are going to fail an exam. The teachers become condescending and assign simple work. When the exam rolls around, guess what? Many of the students do badly.
Many of the leaders Argyris studied blamed any problems on “unclear goals, insensitive and unfair leaders, and stupid clients” rather than making useful assessments. Complaining might be cathartic, but it doesn’t let us learn.
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Understanding Our "Theory of Action"
Argyris explained that this defensive reasoning happens even when we want to improve. Single loop learning just happens to be a way of minimizing effort. We would go mad if we had to rethink our response every time someone asked how we are, for example. So everyone develops their own “theory of action-a set of rules that individuals use to design and implement their own behavior as well as to understand the behavior of others.”
Most of the time, we don’t even consider our theory of action. It’s only when asked to explain it that the divide between how we act and how we think we act becomes apparent.
Steps to Implement Double-Loop Learning
The first step Argyris identified is to stop getting defensive. Justification gets us nowhere. Instead, he advocates collecting and analyzing relevant data. What conclusions can we draw from experience? How can we test them? The next step is to change our mental models. Break apart paradigms. Question where conventions came from.
A keen eye for mismatches between intent and results, and for causal links between thinking, actions, and outcomes.
Surfacing and examining fundamental underlying assumptions and beliefs, and challenging them if they are helpful in producing desired results. The intent is to identify the reasoning that produced your actions and the elements that form your context. Identifying and testing your mental models requires higher levels of deliberate effort and mental awareness. This can often be uncomfortable as it requires questioning long-standing notions.
It forces you to expand on existing capabilities or create completely new ones. You are thinking at the systems level and questioning the overall goal itself by examining and changing your frames of reference.
Problem-solving isn’t a linear process. Argyris found that many professionals are skilled at teaching others, yet find it difficult to recognize the problems they themselves cause (see Galilean Relativity). It’s easy to focus on other people; it’s much harder to look inward and face complex challenges. Doing so brings up guilt, embarrassment, and defensiveness.
Breaking Habits and Embracing Failure
When we repeat a single loop process, it becomes a habit. Each repetition requires less and less effort. We stop questioning or reconsidering it, especially if it does the job (or appears to). While habits are essential in many areas of our lives, they don’t serve us well if we want to keep improving.
For that, we need to push the single loop to the point of failure, to strengthen how we act in the double loop. “Fail early and get it all over with. If you learn to deal with failure… you can have a worthwhile career. - Rev. William L.
Challenging Organizational Norms
One example is the typical five-day, 9-to-5 work week. Most organizations stick to it year after year. They don’t reconsider the efficacy of a schedule designed for Industrial Revolution factory workers. This is single loop learning. The decisions made early on in an organization have the greatest long-term impact. Changing them in the months, years, or even decades that follow becomes a non-option. How to structure the work week is one such initial decision that becomes invisible. As G.K. Chesterton put it, “The things we see every day are the things we never see at all.”
Sure, a 9-to-5 schedule might not be causing any obvious problems. The organization might be perfectly successful. But that doesn’t mean things cannot improve. It’s the equivalent of a child continuing to crawl because it gets them around. Why try walking if crawling does the job?
A growing number of organizations are realizing that conventional work weeks might not be the most effective way to structure work time. They are using double loop learning to test other structures. Some organizations are trying shorter work days or four-day work weeks or allowing people to set their own schedules. Managers then keep track of how the tested structures affect productivity and profits. 37Signals is one company using double loop learning to restructure their work week. CEO Jason Fried began experimenting a few years ago. He tried out a four-day, 32-hour work week. He gave employees the whole of June off to explore new ideas. He cut back on meetings and created quiet spaces for focused work. Rather than following conventions, 37Signals became a laboratory looking for ways of improving.
Experimentation and Data-Driven Decisions
Double loop learning is about data-backed experimentation, not aimless tinkering. In an op-ed for The New York Times, Camille Sweeney and Josh Gosfield give the example of David Chang. After apprenticing as a cook in Japan, Mr. Chang started his own restaurant. Yet his early efforts were ineffective. He found himself overworked and struggling to make money. He knew his cooking was excellent, so how could he make it profitable?
Many people would have quit or continued making irrelevant tweaks until the whole endeavor failed. Instead, Mr. Chang shifted from single to double loop learning. A process of making honest self-assessments began. One of his foundational beliefs was that the restaurant should serve only noodles, but he decided to change the menu to reflect his skills.
Learning from Others
Josh Waitzkin’s approach (as explained in The Art of Learning) is similar. After reaching the heights of competitive chess, Waitzkin turned his focus to martial arts. He began with tai chi chuan. Martial arts and chess are, on the surface, completely different, but Waitzkin used double loop learning for both. He progressed quickly because he was willing to lose matches if doing so meant he could learn. He noticed that other martial arts students had a tendency to repeat their mistakes, letting fruitless habits become ingrained. Like the managers Argyris worked with, students grew defensive when challenged. They wanted to be right, even if it prevented their learning. In contrast, Waitzkin viewed practice as an experiment. Each session was an opportunity to test his beliefs.
Double-Loop Learning in Education
Double-loop learning is a teaching technique that asks learners to think about their foundational knowledge, assumptions, and beliefs. This educational technique is designed to help students to think through their biases and the ways that they have been taught in the past. By participating in double loop learning, students aim to question their own assumptions, as well as those of their teachers, textbooks, and society. From this questioning, teachers encourage their students to develop a more enlightened and inclusive mindset that opens up new possibilities for learning, peace making, and inclusive society.
The primary goal of double-loop learning is to change the student or stakeholder’s pre-existing tacit knowledge into explicit knowledge. Tacit knowledge is the type of information that is difficult to state concisely, hard to pin down into a definition, and even harder to prove. Sometimes tacit knowledge can be a set of skills, but often it is made up of the ideas that a person holds and the experiences that created those ideas. Explicit knowledge is information that can be directly and clearly stated.
When using double-loop learning, teacher and discussion leaders must be ready to guide the entire conversation. They should note that these are at times individual conversations to have. Many students are unprepared to address their assumptions and tacit knowledge. Some will feel that they have been put on the spot, or are being accused of being biased when they are asked to think about their tacit knowledge. Other students may welcome the conversations, yet still be nervous because they do not have the vocabulary to participate in the discussion. Sometimes, however, students will be very excited to discuss their tacit knowledge and will eagerly engage in the discussion.
Applications in Various Fields
Double-loop learning has been used in many different fields, including leadership training. Through double-loop learning, leaders are able to dig deeply into the assumptions of their employees. There are also efforts to ensure that double-loop learning makes its way into the K-12 classroom, particularly through teacher education.
Triple-Loop Learning
Scholars of double-loop learning have begun considering ways to advance the learning strategy. They have called their new advancement “triple-loop” learning. This triple-loop is found in the small parts of the double-loop. This is when a large question is posed to a learner, and then broken down into many different parts, each deserving of a detailed investigation. Those smaller investigations are the triple-loop. In triple loop learning where your “stance” and the way you are being, drives your thinking.
Examples of Double-Loop Learning
A real-world example of double-loop learning could be a company that's struggling with high employee turnover. Using single-loop learning, they might try to address the problem by offering higher salaries or more vacation time. However, double-loop learning would involve examining the deeper reasons why employees are leaving. Perhaps the company culture is toxic, or there's a lack of opportunities for growth and development.
A great example of double-loop learning by examining assumptions is the nine dot puzzle - connect all the dots using only four lines and without lifting the pen.
The Benefits of Double-Loop Learning
The implications of double-loop learning are significant for both individuals and organizations. By embracing this deeper level of learning, we can become more adaptable, innovative, and effective in our actions. Double-loop learning encourages us to challenge the status quo, question our assumptions, and develop new ways of thinking.
When used in a workplace, this method has led to increased productivity and better appreciation of co-workers. This success occurs because co-workers are able to find common ground through their conversations and are better able to understand the perspectives of their co-workers.
By making honest self-assessments, shifting mental models, and embracing experimentation, we can unlock our full potential and achieve lasting success. Double-loop learning offers a framework for continuous improvement and adaptation in a constantly evolving world.
