Many times when clients contact me they ask if I can help them come to consensus or alignment on their shared purpose or desired outcomes. They expect facilitation will help them to do this.
Sometimes this is a good idea. If we are working in a highly constrained project, like building a new building, getting everyone on the same page is important. But it’s also easy. All you have to do is bring in the experts, design a good implementation plan for a good solution and have project managers keep everyone on track, step by step. Most organizations are good at that, and if they aren’t they can easily learn the skills to do it.
Its not the linear project managers that are the problem. Its the problem that is the problem.
Conditioned to planning and implementing in this linear fashion, many organizations get flummoxed when they confront a problem with no obvious solution and no clear pathway forward. There may be multiple ways to think about the issues, multiple experiences of what is happening, and divergent and even contradictory desires around where we should be going. These kinds of wicked, seemingly intractable problems breed conflict, and the only recourse for leaders is to tolerate it for a while and then impose a solution with no guarantee that folks will be happy, or even that the solution is the best one possible.
These kinds of problems are complex: wicked, sticky, intractable, Volitile Uncertain Ccomplex and Ambiguous. Tough nuts to crack. There are lots of ways to describe them and lots of ways they drive frustration and conflict.
The common reactive response to these situations seems to be to first gather more information and try harder to find the obvious answer and try to get everyone on the same page. When I’m first working with clients experiencing these kinds of issues, I try to steer them away from certainty and alignment. I point out that in complex environments you don;t get to predict outcomes and you need to look for emergent practices and emergent solutions. Innovation never looks like something you’ve ever done before. Studying the present for the answer will not turn up the gold lying just out of eyesight under a rock. Complex solutions are for all practical purposes, infinitely unpredictable.
So what is the answer? Throw a bunch of ideas at teh wall and see what sticks?
Well, sometimes that can work, especially if you are truly out of ideas. But generally you have something to go on: a sense of direction, a sense that HERE isn’t where we want to be and that there is probably a better THERE that we should get to.
The issues is that, if we truly knew how to get from the undesirable HERE to the much coveted THERE, we probably would have done it by now. In complexity work, the first step here is admitting that trying to achieve pre-planned outcomes simply won’t work. Instead we need to go in a direction of travel towards a better place.
There are a couple of key ways to get started here. First, I always have groups spend time describing their current situation. We are looking for the patterns and dynamics that keep the system stuck in a place that isn’t working. Sometimes this can involve sophisticated research and narrative capture and other times it’s a simpler process of observation and pattern detection. Understanding the state of play helps us to discover an important secret, and that is, the inclination of the system to change.
Imagine an organization whose culture is fragmented and siloed with petty conflicts and turf wars over resources. Politics is rampant and some people seem to be at work only to stir the pot and not actually do the work. If you are a leader you might want to try to ay down the law and tell everyone to smarten up and focus on the organization’s mission. That never works. You can’t simply command a culture to change.
Instead you might convene a group of people to talk about what would be better. And people may say that they want a place that is more collaborative, more connected, and more fun to be at. What you have there is a group of people describing a preferred direction. It’s different from an outcome. It is instead a starting place, a place to orient their inquiry and their work to change things.
One thing you can do is begin by looking for places of positive deviency in the system. Bad as it is, there may well be people that are nevertheless already working in the preferred way, even in small ways. Those stories give you something to experiment with, and they reveal an inclination in the system that might lead to change. Conversely you may find that literally no one is working in this way and that the organization is truly mired in a pattern of deep dysfunction. In this case, the way forward is a radical breaking of the patterns that keep it in place.
Doing both of these things is a wise way to get started. INstead of requiring everyone to work together towards a common goal, you give space to people to work in small and diverse ways to discover how they might nudge the system towards a better THERE.
If you watch a river for a while you will notice that the river flows in both directions at once. Little obstacles in the river, like logs and rocks, create eddies that cause the current to turn back on itself. A living river is full of these back eddies and contradictory currents. Small creatures take refuge there, food and nutrients get trapped there and don’t all wash away to the sea. At the finest granularity of scale, it may even seem that the river is flowing backwards.
And yet the direction of the water i undeniable. It flows down, towards the sea and will always find the low point in its terrain.
That’s how strategic direction looks in complexity. Choose a direction, try multiple things that might work or might not. Contradict each other. Find the places where someone is working against the current and thriving in that little back eddy. Commit to a direction and see what can get you to go that way.
Rivers sit in a topography and changing the landscape is very hard. But changing the culture of a team or and organization can be easier if you work at the level of patterns. Find the patterns that hold behaviours in place and try small things to shift them . See what happens. In organizations you do get the shift the river banks.
It’s more work than making everyone sign your pledge of values, but it’s more meaningful, because the change you get is creative, co-owned and sustainable.
I’m moving these posts to Monday morning and will try to provide a theme each week to connect the five links. Enjoy.
Dave Snowden’s 12 Shibboleth’s of Christmas
Back in 2015, Dave Snowden took on 12 aspects of organizational and corporate culture that were basically enemies of complexity thinking. The list is still very valuable these days. In each post Dave offers the problem and the way complexity theory helps you do better.
Evaluation and complexity – lesson from 5 big evaluations in the UK
I’ve recently found the blog of Marcus Jenal, who is yet another guy who is saying a bunch of stuff that I say too. Here’s a piece he wrote reviewing his work with complexity and evaluation, starting with the question: ““When is understanding complexity important for evaluation?”
Defining complexity as a messy human
Another blog new to me is Human Current. They have a podcast which serves as a place for them to talk about and learn more about these ideas. This post is an index to some of their episodes that have helped them understand and and explain complexity science and complexity thinking.
My friend Ria Baeck has been writing a book for years that combines her thinking about self, source, hosting and theory with harvests from the workshops and conversations she has hosted over the past decade. The book is being released like expressions of fine whisky, one barrel at a time at her blog. This chapter delves in complexity through Cynefin thusly:
I have already talked about ‘sourcing’, and ‘collective sourcing’ as collective embodied revelation. It takes some courage to learn to voice our subtle sensing, because we have to overcome our conditioned assumption that this is not ‘real’ or ‘true’ or ‘useful’ information. At the present juncture, though, I wish to give some attention to a next step that follows on from the subtle sensing: the precision of language and making (subtle) distinctions.
How chaos makes the multiverse unnecessary
Lastly, this wide ranging piece from the always interesting Nautilus takes my weekly reading on complexity back out to the cosmological level, through trying to understand why we see structure when we look at things in a fundamentally chaotic universe.
There is another, more interesting, explanation for the structure of the laws of nature. Rather than saying that the universe is very structured, say that the universe is mostly chaotic and for the most part lacks structure. The reason why we see the structure we do is that scientists act like a sieve and focus only on those phenomena that have structure and are predictable. They do not take into account all phenomena; rather, they select those phenomena they can deal with.
Things change in different ways.
A couple of weeks ago, I took a deep dive into Glenda Eoyang’s Human Systems Dynamics, learning about her theory of complexity and getting my hands on the tools and methods that HSD uses to work in complex adaptive systems. (The tools are very good by the way, and highly recommended as ways to both get a good introductory grasp on complex problems, and work within those contexts to make decisions and lead).
One of the useful ways of looking at things concerns the kinds of change that happen, and if you’ve been reading my blog lately, you’ll know that accurately describing your theory of change is a key discipline for me.
In HSD we talk about three kinds of change: static, dynamic and dynamical. I’m not 100% sold on the terminology, but I invite you to think of these are ways of describing the start and end points of an intervention.
Static change begins and ends with a fairly stable system. An example is nailing drywall to a frame. You start with a frame, a sheet of drywall and some nails. The act of change is a predictable and controllable action that fastens the drywall to the framing and creates a wall. The system is stable to begin with and stable after the intervention.
Dynamic change is change that is full of motion and movement but that motion follow a predictable trajectory and also begins with a fairly stable beginning and end point. To extend our metaphor, this is about building a house, or using a crane to raise and lower materials on the building site. There are dynamics at play but the beginning is knowable and the end state is predictable. The interventions are dynamic, requiring little adjustments as you go, applied with expertise. Hire a crane operator if you want to avoid accidents.
Dynamical change comes from the world of physics, where small perturbations in a system result in massive changes and emergent outcomes. The beginning state is in motion and has a history that matters. The end state is also in motion and has a trajectory that matters. The intervention will alter the the future state in unpredictable ways. This is what happens in most complex systems. Small changes make big and unpredictable differences. Extending our house building metaphor even further, this is what happens when you build a variety of structures in a neighbourhood and fill them with people. The neighbourhood changes, sometimes for the better, sometimes for the worse.
We can try to reduce the amount of unpredictability in our work but there are limits to that. Externalizing the results of our decisions is not without peril, and in fact I would say that there is a moral imperative to taking responsibility for the kinds of interventions that we make in a system. While we can’t know everything that is going to happen, we need to bear some responsibility for our actions. In highly ordered systems where causality is attributable, we can do this with solid accountability mechanisms. In highly unordered, complex and emergent systems, we can’t attribute causality and accountability, but we can take care to use the right tools and views. This sometimes paralyzes people into not acting – the well known “analysis paralysis” situation. Sometimes not acting, or simply ignoring consequences, comes with some moral peril. The problem is that, despite the nature of the problem, we still need to act.
I find in general that it helps to know that complexity is fundamentally unknowable in its totality. in this kind of system, no amount of data and research will give us definitive answers before making decisions about what to do. This is why adaptive action is so important. It shortens the feedback loop between planning, acting and evaluating so that you can start small and being to watch for the effects of your decisions right away. Of course with large scale system work, the process of understanding the system is important, but it’s a never-ending process. One studies it but one shouldn’t treat a large complex system as if it is always subject to static change: moving between one state and another. We need to learn to see that and operate within a dynamic and changing environment, finding “just enough” information to initiate changes and then watching for what happens, adjusting as we go.
Some interesting links that caught my eye this week.
Why Black Hole Interiors Grow (Almost) Forever
Leonard Susskind has linked the growth of black holes to increasing complexity. Is it true that the world is becoming more complex?
“It’s not only black hole interiors that grow with time. The space of cosmology grows with time,” he said. “I think it’s a very, very interesting question whether the cosmological growth of space is connected to the growth of some kind of complexity. And whether the cosmic clock, the evolution of the universe, is connected with the evolution of complexity. There, I don’t know the answer.”
With a Green New Deal, here’s what the world could look like for the next generation
This is the vision I have been asking for from our governments. This vision is the one that would get me on board with using our existing oil and gas resources to manufacture and fund and infrastructure to accelerate this future for my kids. The cost of increasing fossil fuel use is so high, it needs to be accompanied by a commitment to faster transition to this kind of world. Read the whole thing.
Why we suck at ‘solving wicked problems”
Sonja Blignault is one of the people in the world with whom I share the greatest overlap of theory and practice curiosities regarding complexity. I know this, because whenever she posts something on her blog I almost always find myself wishing I had written that! Here’s a great post of five things we can do to disrupt thinking about problem solving to enable us to work much better with complexity.
Money and technology are hugely valuable resources: they are certaintly necessary but they are not sufficient. Simply throwing more money and/or more advanced technology at a problem will not make it go away. We need to fundamentally change our thinking paradigm and approach things in context-appropriate ways, otherwise we will never move the needle on these so-called wicked problems.
rock/paper/scissors and beyond
I miss Bernie DeKoven. Since he died earlier this year I’ve missed seeing his poetic and playful blog posts about games and fun. Here is one from his archives about variations on rock/paper/scissors
The relationship between the two players is both playful and intimate. The contest is both strategic and arbitrary. There are rumors that some strategies actually work. Unless, of course, the players know what those strategies are. Sometimes, choosing a symbol at random, without logic or forethought, is strategically brilliant. Other times, it’s just plain silly.
So they play, nevertheless. Believing whatever it is that they want or need to believe about the efficacy of their strategies, knowing that there is no way to know.
The longer they play together, the more mystical the game becomes.
They play between mind and mindlessness. For the duration of the game, they occupy both worlds. The fun may not feel special, certainly not mystical. But the reality they are sharing is most definitely something that can only be found in play.
How Evaluation Supports Systems Change
An unassuming little article that outlines five key practices that could be the basis of a five-day deep dive into complexity and evaluation. I found this article earlier in the year, and notice that my own practice and attention has come back to these five points over and over.
While evaluation is often conducted as a means to learn about the progress or impact of an initiative, evaluative thinking and continuous learning can be particularly important when working on complex issues in a constantly evolving system. And, when evaluation goes hand in hand with strategy, it helps organizations challenge their assumptions, gather information on the progress, effects, and influence of their work, and see new opportunities for adaptation and change.
In the world of non-profits, social change, and philanthropy it seems essential that change agents provide funders with a theory of change. This is nominally a way for funders to see how an organization intends to make change in their work. Often on application forms, funders provide guidance, asking that a grantee provide an articulation of their theory of change and a logic model to show how, step by step, their program will help transform something, address an issue or solve a problem.
In my experience, most of the time “theory of change” is really just another word for “strategic plan” in which an end point is specified, and steps are articulated backwards from that end point, with outcomes identified along the way. Here’s an example. While that is helpful for situations in which you have a high degree of control and influence, and in which the nature of the problem is well ordered and predictable, these are not useful with complex emergent problems. Most importantly they are not theories of change, but descriptors of activities.
For me a theory of change is critical. Looking at the problem you are facing, ask yourself how do these kinds of problems change? If, for example, we are trying to work on a specific change to an education policy, the theory of change needs to be based on the reality of how policy change actually happens. For example, to change policy you need to be influential enough with the government in power to be able to design and enact your desired changes with politicians and policy makers. How does policy change? Through lobbying, a groundswell of support, pressure during elections, participation in consultation processes and so on. From there you can design a campaign – a strategic plan – to see if you can get the policy changed.
Complex problems are a different beast altogether. They are non-linear, unpredictable and emergent. Traffic safety is an example. A theory of change for these kind of problems looks much more like the dynamics of flocking behaviour. The problem changes through many many small interactions and butterfly effects. A road safety program might work for a while until new factors come into play, such as distractions or raised speed limits, or increased use of particular sections of road. Suddenly the problem changes in a complex and adaptive way. It is not logical or rational and one certainly can’t predict the outcome of actions.
In my perfect world I wish it would be perfectly acceptable for grantees to say that “Our theory of change is complexity.” Complexity, to quote Michael Quinn Patton, IS a theory of change. Understanding that reality has radical implications for doing change work. This is why I am so passionate about teaching complexity to organizations and especially to funders. If funders believe that all problems can be solved with predictive planning and a logic model adhered to with accountability structures, then they will constrain grantees in ways that prevent grantees from actually addressing the nature of complex phenomena. Working with foundations to change their grant forms is hugely rewarding, but it needs to be supported with change theory literacy at the more powerful levels of the organization and with those who are making granting decisions.
So what does it look like?
I’m trying these days to be very practical in describing how to address complex problems in the world of social change. For me it comes down to these basic activities:
Describe the current state of the system. This is a process of describing what is happening. It can be through a combination of looking at data, conducting narrative research and indeed, sitting in groups full of diversity and different lived experience and talking about what’s going on. If we are looking at road safety we could say “there are 70 accidents here this year” or “I don’t feel safe crossing the road at this intersection.” Collecting data about the current state of things is essential, because no change initiative starts from scratch.
Ask what patterns are occurring the system. Gathering scads of data will reveal patterns that are repeating and reoccurring in the system, Being able to name these patterns is essential. It often looks as simple as “hey, do you notice that there are way more accidents at night concentrated on this stretch of road?” Pattern logic, a process used in the Human Systems Dynamics community, is one way that we make sense of what is happening. It is an essential step because in complexity we cannot simply solve problems but instead we seek to shift patterns.
Ask yourself what might be holding these patterns in place. Recently I have been doing this by asking groups to look at the patterns they have identified and answer this question. “If this pattern was the result of set of principles and advice that we have been following, what would those principles be?” This helps you to see the structures that keep problems in place, and that is an essential intelligence for strategic change work. This is one adaptation of part of the process called TRIZ which seeks to uncover principles and patterns. So in our road safety example we might say, “make sure you drive too fast in the evening on this stretch of road” is a principle that, if followed, would increase danger at this intersection. Ask what principles would give you the behaviours that you are seeing? You are trying to find principles that are hypotheses, things you can test and learn more about. Those principles are what you are aiming to change, to therefore shift behaviour. A key piece of complexity as a theory of change is that constraints influence behaviour. These are sometimes called “simple rules” but I’m going to refer to them as principles, because it will later dovetail better with a particular evaluation method.
Determine a direction of travel towards “better.” As opposed to starting with an end point in sight, in complexity you get to determine which direction you want to head towards, and you get to do it with others. “Better” is a set of choices you get to make, and they can be socially constructed and socially contested. “Better” is not inevitable and it cannot be predictive but choosing an indicator like “fewer accidents everywhere and a feeling of safety amongst pedestrians” will help guide your decisions. In a road safety initiative this will direct you towards a monitoring strategy and towards context specific actions for certain places that are more unsafe than others. Note that “eliminating accidents” isn’t possible, because the work you are trying to do is dynamic and adaptive, and changes over time. The only way to eliminate accidents is to ban cars. That may be one strategy, and in certain places that might be how you do it. It will of course generate other problems, and you have to be aware and monitor for those as well. In this work we are looking for what is called an “adjacent possible” state for the system. What can we possibly change to take us towards a better state? What is the system inclined to do? Banning cars might not be that adjacent possible.
Choose principles that will help guide you away from the current state towards “better.” It’s a key piece of complexity as a theory of change that constraints in a system cause emergent actions. One of my favourite writers on constraints is Mark O Sullivan, a soccer coach with AIK in Sweden. He pioneers and research constraint based learning for children at the AIK academy. Rather than teach children strategy, he creates the conditions so that they can discover it for themselves. He gives children simple rules to follow in constrained game simulated situations and lets them explore and experiment with solutions to problems in a dynamic context. In this presentation he shows a video of kids practicing simple rules like “move away from the ball” and “pass” and watches as they discover ways to create and use space, which is an essential tactical skill for players, but which cannot be taught abstractly and which must be learned in application. Principles aimed at changing the constraints will help design interventions to shift patterns.
Design actions aimed at shifting constraints and monitor them closely. Using these simple rules (principles) and a direction of travel, you can begin to design and try actions that give you a sense of what works and what doesn’t. These are called safe to fail probes. In the road safety example, probes might include placing temporary speed bumps on the road, installing reflective tape or silhouettes on posts at pedestrian crossings, placing a large object on the road to constrain the driving lanes and cause drivers to slow down. All of these probes will give you information about how to shift the patterns in the system, and some might produce results that will inspire you to make them more permanent. But in addition to monitoring for success, you have to also monitor for emergent side effects. Slowing traffic down might increase delays for drivers, meaning that they drive with more frustration, meaning more fender benders elsewhere in the system. Complex adaptive systems produce emergent outcomes. You have to watch for them.
Evaluate the effectiveness of your principles in changing the constraints in the system. Evaluation in complex systems is about monitoring and watching what develops as you work. It is not about measuring the results of your work, doing a gap analysis and making recommendations. There are many, many approaches to evaluation, and you have to be smart in using the methods that work for the nature of the problem you are facing. In my opinion we all need become much more literate in evaluation theory, because done poorly, evaluation can have the effect of constraining change work into a few easily observed outcomes. One form of evaluation that is getting my attention is principles-based evaluation, which helps you to look at the effectiveness of the principles you are using to guide action. This is why using principles as a framework helps to plan, act and evaluate.
Monitor and repeat. Working on complex problems has no end. A traffic safety initiative will change over time due to factors well outside the control of an organization to respond to it. And so there never can be an end point to the work. Strategies will have an effect and then you need to look at the current state again and repeat the process. Embedding this cycle in daily practice is actually good capacity building and teams and organizations that can do this become more responsive and strategic over time.
Complexity IS indeed a theory of change. I feel like I’m on a mission to help organizations, social change workers and funders get a sense of how and why adopting to that reality is beneficial all round.
How are you working with complexity as a theory of change?