
From the time my daughter was born in 1997, my partner and I went hard on studying learning theory to understand how kids learn, what’s good for them and how to support their growth. These little beings don’t come with instruction books. It’s hard enough to learn how to feed and maintain them, let alone figure out how to help their brains and hearts grow.
We studied for a lot of years and gradually landed on the work of John Holt, an educational psychologist who, in the 1960s and 1970s, studied how children fail in the Boston school system. Motivated by that work, he later wrote a book called “How Children Learn” which was a seminal text in what became the movement of “unschooling” or “life learning.” This is, to some, a radical approach to homeschooling children.
In the early 2000s, along with a few other families on Bowen Island, Canada where we live, we created a publically-funded homelearning support community called Island Discovery Learning Community. There, our children could come together with other kids and adults, with teachers and resources, and even with curriculum and assignments, to engage in self-directed learning in the community.
Unschooling is a serious commitment and we did this with our children until they were 13 and 10 respectively, following their leads, and guiding them until they chose to go to school. At that point, we treated their choice as another step in their learning journey and at the end of every year, checked in with them about whether they wanted to keep doing that. They said yes, and have both since made their way into university – our daughter first as a jazz musician and now studying psychology and criminology, and our son going part time to explore subjects that might interest him, currently focusing on economics.
I share with you this history so you know that I have some experience in what many of you are facing right now. Kids at home, not feeling like you are qualified to teach them anything, not knowing what to do and maybe even afraid that without school they will be set up for failure in life. It’s all real.
SO to give you some hope, I want to share a few key principles and practices that work when you are homeschooling kids. Your mileage may vary.
First, relax. Even if your kid took a whole year off school, it is not going to lasting damage to them. You are not falling behind, and your kids isn’t losing an advantage by spending a tremendous amount of time away from a classroom. Things will be fine. Trust me.K
Don’t replicate “school” at home. This is a recipe for failure. Your home is not a school and probably the last thing your kid wants is a full scale conversion of their living and playing space into a school run by a nervous parent who is trying to replicate a mass education institution with no good grounding in theory or practice. Your home needs to be a home, especially now, and it needs to be a place of safety and security and love for your kids. Try to avoid doing things that place pressure on your relationship and that cause the child to become angry, resentful, or distant. If your school district is giving your child work, make sure it doesn’t take up the whole day. Remember that they need time to goof off and let off steam. So do you, probably.
Notice that you are all learning all the time. Leaning always happens best in context. Your kids will have ample opportunity to practice reading, math, epidemiology, art, music, video editing, writing, research, cooking, animal care, mutual aid and support, ideation, design, technical skills acquisition, and life skills right now. Just like they do every day. Just like you do every day. Learning doesn’t stop, especially in a context that is always challenging and offering up new experiences. What you can do is take time to notice what they are learning, collect examples of their work and build a portfolio together. Homeschooling families do this all the time because if you never go to school, this is how universities court you to attend their programs. On your body of work.
Kids learn at different speeds. For busy parents who are not intimately involved in their kids’ education, it might come as a surprise to realize that your kids all learn things at different speeds. Our son taught himself to read at 4 years old. Our daughter didn’t start reading until she was 10. They both learned to read in a couple of weeks when they were ready to. If you are getting homework from the school and it seems to be taking your kid ages to grasp a concept that is because it takes them ages to grasp a concept. They might not even be ready to grasp it. They are not broken. There is not something wrong and they are not “losing.” You might need to put aside that concept and do something else. Don’t forget there is nothing essential for them to learn right now in this moment. You could spend months trying to teach a kid something when they aren’t ready to learn and find out that a year or two later, they get it right away. Don’t force it.
Adopt this simple pedagogy: STREWING AND CONVERSATION. Seriously, these two practices took us through a decade and a half of support our children’s learning. Strewing means that you flood you environment with interesting things – books, websites, podcasts, videos, games, challenges, work, interesting people – and you watch to see what they attach to. When they show some interest in something, engage them in conversation with genuine curiosity. Ask them questions so that they can teach YOU about the topic. Don’t quiz them or judge where their attention goes. Even if they spend hours playing Fortnight, get in there with them and understand what they are doing. Ask them questions about how they make decisions, come up with a strategy and work together. I daresay that you will learn something from having them teach you about situational awareness, rapid-cycle strategic iteration, and real-time collaboration.
Love them above all else. Can I just bluntly say, that being a parent right now is fucking hard. You’re not failing if you’re feeling that. Your kids are anxious, worried, and carrying a lot as they move through this disruption in their lives. They can’t see their friends and they are possibly even beginning to hear stories of people they love who are getting sick. If they can’t focus on schoolwork, don’t force them to. These are traumatizing times. What they need right now is probably a good hug and a cry. I’m not sure that is an age-dependent need, actually. The most important thing of all is to love them and care for them right now. Make them as happy as possible right now, because that is what will help them stay resilient, and that is the most important thing.
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Every year, to celebrate St’ David’s Day, Dave Snowden has shared a series of posts on the evolution of the Cynefin framework. This year he introduced the newest version. The framework changes, because as we use it, it has an evolutionary journey towards “better” and more coherent. Not every branch in its evolution has had helpful components, but I find the current iteration to be very useful because it is both simple to use, easy to introduce, and yet has quite a bit of depth.
During the pandemic, I’ve been using this version of it to help people think about what to do and this is how I propose to tour you around it as well.
First, it’s helpful to orient people to the framework. To begin with, it has five domains: the one in the middle, plus four others. It’s helpful to think of the domains as a slope, starting high in the bottom right and tapering counterclockwise around to the bottom left. The domain in the middle is the most important for me, and the most underappreciated. It is the domain of Confusion (it used to be called Disorder). The domains on the right side are “ordered” meaning that stuff there is largely knowable and predictable, and problems are solveable. These Clear or Complicated domains are, distinguished by the number of interactions going on – the more parts in the system, the more Complicated it is – and the level of expertise required to know what the answer to a problem should be.
The domains on the left side are “unordered” meaning that situations are unknowable and unpredictable. This is the world of Complexity and Chaos. These are distinguished by the way the system changes, self-organizes, and creates emergent phenomena. Complex systems exhibit emergence and self-organization, and Chaos exhibits the lack of any meaningful constraints a sense of randomness and crises.
The further you go counterclockwise, the more unordered and unstable the system is. If you go clockwise, you introduce stability and order to the system. Stability lies clockwise of where you are now and instability lies counterclockwise. It is important to note that this is true until you get to the boundary between Clear and Chaos. That is like a cliff. One falls off of the Clear domain into chaos and it is difficult – if not impossible – to recover and clamber back up to the well-ordered world with Clear answers.
Most helpful for understanding strategy and the use of the framework is understanding how constraints work. From Clear to Chaos, one can move through the framework using constraints: Clear systems have fixed constraints that can break catastrophically and can be repaired easily f you know what you are doing. Think of a water leak. If you know how to repair it, it is a simple matter to do so. If you don’t, you fall off that cliff into Chaos quite quickly, and it takes a lot of time to get back to normal.
Complicated systems allow for a little more latitude in practice and so have governing constraints, such as laws and procedures. Break them at your peril, but also discuss them to make sure they govern activity in the system well.
Complex systems are characterized by enabling constraints which give rise to all manner of creativity, emergence and self-organization, but which can also be immutable. Think of the laws of physics or principles of evolutionary biology that seem to generate a huge variety of systems and living beings. But we don’t have a creature that can breathe by oxidizing neon, because neon doesn’t oxidize.
Constraints in complexity can be quite tight and still contribute to emergence and creative action. Think of the way the rules of the haiku form don’t tell you what to write, but instead offer guidance on the number of syllables and lines to use: three lines of five, seven, and five syllables. These simple constraints give rise to tremendous creativity and inspiration as you work to create beauty within a distilled form.
In Chaos the absence of constraints means that nothing makes much sense, and all you can do is choose a place to act, apply constraints and quickly sense what comes next. This is what first responders do. They stabilize the situation and then figure out whether a technical expert is needed (to operate the jaws of life) or whether the situation needs to be studied a bit more (so we know how a pandemic actually occurs and the different ways a new virus operates in the human body).
That’s the basic orientation to the framework. There are additional features above that are helpful to note, including the green zones of liminality and the division of the Confusion domain into A and C, standing for Aporetic and Confused. Aporetic means “at a loss” and indicates an unresolved confusion, or a paradox, which is just fine. Sometimes things need to remain a little murky for a while. “Confused” refers to the state of mind where you just aren’t getting it, and you don’t understand the problem. It’s often the result of a failure to see past one’s own biases, habits, and entrained patterns of solving things.
Contextualizing your problem
One meaning of the Welsh word “Cynefin” is “places or habitats of multiple belonging.” The name of the framework references the fact that in any situation of confusion, you are likely to have all five types of problems or systems at play. So when you are working on trying to understand a situation, start by assuming you are in Confusion. As much as it is tempting to look at all situations related to COVID-19 right now as Chaos, they aren’t. In fact, the desire to do see them that way is actually a key indicator that you are in Confusion. When I am teaching this framework, I sometimes label this domain “WTF?” because that is precisely what is happening here. We don’t know what’s going on, we’re confused, and we’ve never been here before. Any data you collect about a problem should all go into the Confused domain first.
From there you can ask yourself where things belong. This is called a Cynefin contextualization and is a core Cognitive Edge method for working with Cynefin. It works like this: you literally put as many aspects of your situation on individual post-it notes as you can, put them in the middle of a table and sort data into basic categories according to these criteria:
- If the aspect is clear and obvious and things are tightly connected and there is a best practice, place it bottom right.
- If the aspect has a knowable answer or a solution, has an endpoint, but requires an expert to solve it for you, put it top right.
- If the aspect has many different possible approaches, and you can’t be sure what is going to work and no one really has an answer, put it top left.
- If the aspect is a total crisis, and you are overwhelmed by it, put it bottom left.
- If you can’t figure out which domain to put the aspect in, leave it in the middle for now. NOT EVERY POST IT NOTE NEEDS TO GO IN THE FOUR OUTER DOMAINS.
Now you have a table with five clusters of post-it notes. You can do lots of things with your data now, but for me, the next step is to have a look at the stuff on the right side. Make a boundary between the stuff you can do right now (Clear) and the stuff you need an expert to help you with (Complicated). You can cluster similar pieces of data together and suddenly you have little projects taking shape.
In the top left corner (Complex), make a distinction between things that are more tightly constrained and things that are less tightly constrained. Think of this domain as a spectrum from closed to open. For example, moving my work online is constrained by needing a laptop and some software, and a place to work and some hours in the day to minimize interruptions. Those are fairly tight constraints, even though I know that I’m not going to get it right the first time around and no expert will solve it for me. I have to make it work for my context. Figuring out how to manage a team of eight people from home is much less constrained, and even comes close to chaotic. So that gives you a sense of the variety possible as you move from the boundary between Complicated and Complex and the boundary between Complex and Chaos. And you can see now why the liminal spaces exist there too. It’s not always clear cut.
Anything else on the left side that is overwhelming is in Chaos, so leave it down at the bottom left. If it is an actual crisis, you probably should take care of it right now and then come back to your framework later!
Stuff that is still confusing stays in the middle and you might want to take a crack at sorting things into Aporetic and Confused. An example of Aporetic might be trying to figure out whether you have the virus or not without being able to get tested. Because you can’t know for sure, you have to hold that knowledge in suspension and let your actions be guided by the idea that you might have it, but you might not too. But you might. You just can’t know right now.
So now you have options:
- For Clear aspects, just do them. Don’t put them off either, because failing to do so will drop you into chaos. WASH YOUR HANDS OFTEN FOR 20 SECONDS WITH SOAP. That’s an order. Orders work well here.
- For Complicated aspects make a plan. You might be able to find someone to help you learn the technical aspects of setting up a zoom meeting. You’ll definitely find videos and technical documentation to help you do it. You can learn that skill or find someone who knows it. This is what is meant by Sense-Analyse-Respond. Do a literature search, listen to the experts, and execute.
- For Complex problems, get a sense of possibilities and then try something and watch what happens. Figuring out how to be at home with your kids is pure complexity: you can get advice from others, talk about with friends and strangers, read blog posts and tweets, but the bottom line is that you need to get to work and learn as you go, engaging in a rapid iterative cycle and see if helpful patterns emerge. As you learn things, document practices and principles that help guide you in making decisions. If rules are too tight, loosen them. If the kids need more structure, apply it. Finding those sweet spots requires adaptive action, and learning as you go. Here we talk about Probe-Sense-Respond. Don’t worry about collecting tons of information before acting: it won’t help you past a certain point. Act on a hunch first and monitor the results as you go.
- Liminal complexity means that you are choosing to enter into proximity to either Complicated or Chaos. if you apply constraints (like enforcing rules on the kids) you are moving complexity towards the ordered domains. That might work, but too much rigidity will create problems. On the other hand, if your constraints are too rigid you may find yourself unwittingly creating patterns that make it hard to flow with the changing times. And so you release the constraints until you can discover something new and helpful, and then apply constraints again to help you manage in complex times. An example might be adopting the assumption that you are a carrier of the virus and letting that assumption guide your behaviours. That helps you to make choices that will probably benefit you and the people around you. (And here are some heuristics to practice with if you have kids at home during the pandemic)
- For chaos, you are going to need to apply constraints quickly and maintain them until the situation stabilizes. That might mean self-quarantine if you are infected and sharing a house with others. It might mean relying on emergency services to impose those constraints for you.
- For confusion, think of this as the top of the fountain and as new data enters your system, add it there until it trickles into the right domain. I like to revisit things that are in this domain from time to time, because as I get to work on stuff, sometimes my confusion about other things disappears, or sometimes I find a true paradox that can never be resolved and those are delightful in themselves.
So, to conclude
In summary:
- Cynefin is a five (expanding to seven) domain framework. Whatever you are doing probably has aspects of all the domains at play at any given time.
- If you need to learn something, or discover new things, loosen constraints. If you need to stabilize a situation, tighten constraints.
- In the Ordered domains, rules, laws, and experts are helpful and should be obeyed. In the unordered domains, principles and heuristics should be adopted that are coherent with goodness, safety, and care, to guide behaviour and learn new things.
- In chaos, stabilizing the situation is most important. Act now to restrict your actions and once things are stable, make the next move.
Be careful, be aware, be connected, learn and share as you go. None of us have been here before, so offer grace and support. Try to look at what is happening and suspend your judgement. Don’t spread information unless you know it is reliable, and help each other out.
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I travel around many different kinds of organizations. Many of them preach the mantra that goes something like “it’s okay to fail here. Please take risks and try new things!” Unfortunately, when I look around I can’t see much infrastructure in place that allows the work context to be safe enough to fail.
An organization needs to build learning and experimentation into its operations, especially if it is required to respond to changing conditions, improvements in services, or new ideas. And so the idea that “we want people to take risks” is promoted, often alongside an exhortation to do so prudently but really with no further direction than that.
Anyone who has worked in a large organization will know that risk-taking is perilous. There are many ways to be punished for doing something wrong, and the worst punishments are the invisible ones: shaming, exclusion, a tattered reputation, eroded trust, political maneuvering that takes you away from access to power and influence. Not to mention the material punishments of reduced budgets, demotions, poor performance reviews, and limited permission to try new things in the future.
Failure in context
Before going any further, let’s talk about what I mean by failure. Using Cynefin, we can focus on the difference between failure in complicated contexts and failure complex contexts. When we have a complicated failure in a stable and linear and predictable system, the answer is to fix it right away. Ensure you have the right experts on tap, do a good analysis of the situation and apply a solution.
In complex adaptive systems, failure is context-dependent. Here failure is an inevitable part of learning and doing new things. Because complex problems demand us to create emergent solutions, we are likely to get somewhere when we can try many different things and see what works and what doesn’t. Dave Snowden calls this “safe-to-fail” and it means taking a small bet, based on a hunch that what you are doing is coherent with the nature of the system and where you want to go, and acting to see what happens. If it fails, you stop it, and if it works, you support it.
I think I once heard Dave say something like “probes in a system should fail 8 out of 10 times or you aren’t trying to find emergent practice.” That is certainly a rubric I find helpful. This means that in developing new things, you should expect to fail 80% of the time and to do that requires that you put into place a system for supporting failure and learning.
Stuck on a cliff
Imagine you are free rock climbing – no ropes or belyaing – and there is a handhold you are reaching for that requires you to do something you’ve never done before. Your partner says “you’ll never learn to solve this problem if you don’t try something. Don’t be afraid to fail.” Far from being imbued with confidence, you are likely to be frozen with fear, seeing all the ways that things could go wrong. Better to just stick to what you know, and don’t try the move.
If however, you are in this same scenario, but you are roped up and belayed by someone you trust, you can feel safe to try the move knowing that if you fail, you will be caught and you will have a chance to try a different strategy. As you develop mastery in the move, you can use it more and more in your rock climbing life, and you may loosen the safety constraints as you develop more capability
Implications for facilitation and leadership
Safety is about creating good constraints so that your people can take risks and know they will be safe if they get it wrong. The job of leaders is to set the constraints for action in such a way that a safe space is available for work. This can take the form of limited time, money, the scope of action, or other things so that folks know what they can and cannot do. Within that space, leaders need to trust people to do their learning and create feedback loops that share the results of experiments with the bigger system. If you can have people all working separately on the same problem – working in parallel as we would say in Cognitive Edge-speak – then you increase the chances of lots more failures and also of finding lots of different ways to do things. This is called “distributed cognition” in complex facilitation and keeping people from influencing each other increases the creative possibilities within constraints.
The next level of this practice is to honestly incentivize failure. Give a reward to a person or a team that has the best report of their failure, the one that helps us all to learn more. You could easily do this in an innovation meeting by having different groups work on a problem in a fixed amount of time. Watch for the group that fails to get anywhere by the end of the time and ask them to share WHY they failed. Their experience will be a cautionary tale to the whole system.
Almost every organization I work with says that they embrace learning, tolerate failure, and want their employees to take more risks. When I ask to see how they do this, it’s rare to find organizations that have a formal process for doing so. Without that in place, employees will always respond to these kinds of platitudes with a little fear and trembling, and in general, take fewer risks if it clashes with their stated deliverables.
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For many years I have been teaching Cynefin as a foundational framework in complexity and participatory leadership workshops and retreats. For me it’s the best and most accessible way to explain the differences between complex problems and other kinds of problems and why we need to make complexity-based interventions in complex systems.
And while there are great ways to start learning about ontology in a lecture format, or using te examples of a children’s birthday party, I’m rather inclined to playing games as a way of understanding different types of systems before we do any teaching at all. Especially when you are teaching Cynefin by referring to constraints, games are super useful because a game is really just a constrained system.
My go to games involve movement and various challenges inspired by theatre exercises, and I’ve documented them before. This morning I needed to create a new suite of games for a context in which free movement was itself constrained (two participants in wheelchairs and a room that was not big enough for good and open movement.) I went to my arsenal of improvisation games and came up with these three games. We did these in groups of about 6-7 people.
- In your group, recite the English alphabet in order one letter at a time. Go around the circle, with each person saying one letter at a time.
- In your group, this time you will construct a 26 word story by each person contributing a word that starts with the next letter in the alphabet. Go in order around the circle, one word from each person. The theme of the story is “Our journey to the retreat centre.”
- In your group you have 3 minutes to tell a one word story about a mythical and legendary community event. Each person contributes one word at a time and you go clockwise around the circle. I will let you know when you have 30 seconds left to wrap up your story.
You can see that these three games map on to the Obvious, Complicated and Complex domains of Cynefin and although they are variations of the same process, the way we use constraints is what dictates the nature of the game.
In the first game, there is a rule: recite the alphabet in order, one person at a time. There is no room for creativity and in fact a best practice – singing The Alphabet Song – help you to do it. If anyone in the group doesn’t know the alphabet, it’s easy enough to google it and show them so they don’t lose their place.
In the second game, there was more latitude for participants to ad something, but they were still constrained by the alphabet scheme and the rule of one word at a time, going in a circle. Again, expertise helps here, as people can remind others that they skipped a letter for example, but increasingly the story is emergent and there is more unpredictability in the exercise. It’s also worth pointing out how people game the system by schoosing words that fit the rules rather than words that contribute to the story. The rules are far more influential constraints than the purpose of the exercise. This leads to all kinds of discussion about why it’s easy in large system to justify your work by just doing your part rather than by what you added to the whole. This is a good example of governing constraints.
In the third game we free the participants from all constraints except one word at a time, in a circle. The theme of the story becomes more important, because word choice is ENABLED by the theme which constraints options. Enabling constraints are at play, and I offered people a couple of heuristics from the improve world in order to hep them if they were stuck:
- Accept the offer and be changed by it
- Make your partner look good by building on the offer
- Don’t be afraid to fail
One word at a time stories can sometimes be very powerful and moving as they emerge from people co-creating something together. You can see how small changes cause the story to go in a radically different direction and participants can often feel their desire to control the narrative dashed on the rocks of different offers. With fewer GOVERNING constraints in place, people feel freer to make mistakes and fail, especially knowing that others may be waiting to work with their material anyway.
So there you go: a new way to experientially learn ontology before diving into Cynefin to explain and make sense of what we just did.
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Five links that caught my eye over the holiday.
New Power: How it’s Changing the 21st Century and Why you need to Know
A book review from Duncan Green, whose work on power, evaluation, and complexity in international development, I much admire. Seems this new book invites a shift in thinking about power from quantity to flows:
Old Power works like a currency. It is held by a few. It is closed, inaccessible and leader-driven. It downloads and it captures. New Power operates differently, like a current. It is made by many. It uploads, and it distributes. The goal with new power is not to hoard it, but to channel it.’
New Power is reflected in both models (crowd-sourced, open access, very different from the ‘consume and comply’ Old Power variety or the ‘participation farms’ of Uber and Facebook) and values (informal, collaborative, transparent, do it yourself, participatory but with short-term affiliations).
Understanding the Learner and the Learning Process
I am fascinated by the connection between how we learn in complex systems and how we strategize in complexity. I think they are the same thing. And there is no better lab for understanding good complexity learning than complex sports like basketball and football. Here is an annotated interview with Kobe Bryant, in which Richard Shuttleworth makes some notes about how learners learn in complexity from Mark O Sullivan’s excellent footblogball.
Jacob Bronowski, a holocaust survivor, discusses the dehumanizing power of arrogance and certainty in a powerful clip from a video where he visits Auschwitz and reconnects with the violence of knowledge.
This is the concentration camp and crematorium at Auschwitz. Thisis where people were turned into numbers. Into this pond were flushed the ashes of some four million people. And that was not done by gas — it was done by arrogance, it was done by dogma, it was done by ignorance.
When people believe that they have absolute knowledge, with no test in reality, this is how they behave. This is what men do when they aspire to the knowledge of gods.
Science is a very human form of knowledge. We are always at the brink of the known; we always feel forward for what is to be hoped. Every judgment in science stands on the edge of error and is personal. Science is a tribute to what we can know although we are fallible…
We have to cure ourselves of the itch for absolute knowledge and power. We have to close the distance between the push-button order and the human act. We have to touch people.
Design Thinking Is Fundamentally Conservative and Preserves the Status Quo
A solid challenge to the ubiquitous application of design thinking to solve complex problems.
The political dimensions of design thinking are problematic enough on their own, but the method is particularly ill-suited to problems in rapidly changing areas or with lots of uncertainty, since once a design is complete the space that the method opens for ambiguity and new alternatives is shut down. Climate change is one such area. The natural environment is changing at an astonishing rate, in ways that are likely to be unprecedented in human history, and that we are unable to fully predict, with each new scientific discovery revealing that we have far underestimated the complexity of the systems that are at play and the shifts on the horizons may very well mean the end of our existence. Yet, design-thinking approaches, adopted with much fanfare to deal with the challenge, have offered formulaic and rigid solutions. Design thinking has allowed us to celebrate conventional solutions as breakthrough innovations and to continue with business as usual.
Intellectual humility: the importance of knowing you might be wrong
An antidote to the above challenges: admitting that you might be wrong as a disciplined act:
Intellectual humility is simply “the recognition that the things you believe in might in fact be wrong,” as Mark Leary, a social and personality psychologist at Duke University, tells me.
But don’t confuse it with overall humility or bashfulness. It’s not about being a pushover; it’s not about lacking confidence, or self-esteem. The intellectually humble don’t cave every time their thoughts are challenged.
Instead, it’s a method of thinking. It’s about entertaining the possibility that you may be wrong and being open to learning from the experience of others. Intellectual humility is about being actively curious about your blind spots. One illustration is in the ideal of the scientific method, where a scientist actively works against her own hypothesis, attempting to rule out any other alternative explanations for a phenomenon before settling on a conclusion. It’s about asking: What am I missing here?