Two weeks ago in our Leadership 2020 program I experimented with using a signification framework to harvest a World Cafe. We are beginning another cohort this week and so I had a chance to further refine the process and gather much more information.
We began the evening the same way, with a World Cafe aimed at exploring the shared context for the work that these folks are in. Our cohort is made up of about 2/3rds staff from community social services agencies and 1/3 staff from the Ministry of Children and Family Development. This time I used prepared post it notes for the sense making exercise, which you can see here:
Our process went like this:
- At Cafe tables of five for 20 minutes, discuss the question “What is a story of the future you are anticipating for this sector?”
- Second round, new tables, same question, 20 minutes
- About ten minutes of hearing some random insights from the group, and checking to see how those resonate.
- 2 minutes of silent reflection on the question of ‘What do you need to learn here that will help us all move forward?”
- Each participants took a pink and blue post it note. On the blue post it they wrote what they needed to learn that would be immediately applicable and on the red ones, learning that is needed to prepare for the future.
- Participants filled out the post-its and then were instructed on how to signify the data on a triangle framework that helped them signify whether what they needed to learn would help them “in their personal life,” “do their jobs” and/or “make change.”
- Participants also indicated on the post-its whether the worked for the Ministry or worked for a community organization.
At the conclusion of the exercise we had a tremendous amount of information to draw from. Our immediate use was to take a small group and use affinity grouping to identify the themes that the whole has around their learning and curiosity. We have used these themes to structure a collective story harvest exercise this morning.
But there is some much more richness that can come from this model. Here are some of the ways people are playing with the date:
- Removing all the pink post-its to see what the immediate learning needs are and vice versa.
- Looking at and comparing the learning needs between the two sectors to see where the overlaps and differences are
- examining the clusters at the extremes to see what ot tells us about personal needs, and professional needs.
- Uncovering a theory of change by looking at the post its clustered around the “Making change” point and also seeing if these theories of change are different between the community and the government.
And of course because the data has been signified on each post it, we can recreate the framework easily. The next level for me will be using this data to create a Cynefin framework using the four-points contextualization exercise. Probably won’t happen in this cohort.
Big learning is the rich amount of data that proceeds from collecting finely-grained objects, allowing for disintermediated sense-making, and seeing all these multiple ways in which signified data can be used to address complex challenges obliquely, which allows you to get out of the pattern entrainment that blinds you to the weak signals and emergent patterns that are needed to develop emergent practice. This pen and paper version is powerful on its own. You can imagine how working with SenseMaker across multiple signification frameworks can produce patterns and results that are many magnitudes richer.
Two Tim Merry references in a row. Yesterday Tim posted a video blog on planning vs. preparation. It is a useful and crude distinction about how to get ready for action in the complicated vs. complex domains of the Cynefin framework. I left a comment there about a sports metaphor that occurred to me when Tony Quinlan was teaching us about the differences between predictive anticipation (used in the complicated domain) and anticipatory awareness (used in the complex domain).
In fact this has been the theme of several conversations today. Complicated problems require Tim’s planning idea: technical skills and expertise, recipes and procedures and models of forecasting and backcasting using reliable data and information. Complex problems require what Dave Snowden has named an artisian approach which is characterized by anticipatory awareness, theory and practice (praxis) and methods of what they call “side casting” which is simply treating the problem obliquely and not head on.
When I was listening to Tony teach this last month, I thought that this distinction can be crudely illustrated with the difference between playing golf and playing football (proper football, mind. The kind where you actually use your feet.) In golf there is a defined objective and reasonably knowable context, where you can measure the distance to the hole, know your own ability with golf clubs, take weather conditions into account and plan a strategic line of attack that will get you there in the fewest strokes possible.
In football it’s completly different. The goal is the goal, or more precisely to score more goals than your opponent, but getting there requires you to have all kinds of awareness. More often than not, your best strategy might be to play the ball backwards. It may be wise to move the ball to the goal in AS MANY passes as possible, in a terribly inefficient way because doing so denies your opponent time on the ball. And the context for action is constantly changing and impossible to fully understand. And the context also adjusts as you begin to get entrained in patterns. If you stick to a long ball game, the defending team can adjust, predict your next move and foil the strategy. You have to evolve or be owned.
This is, I believe, what drives many Americans crazy about world football. There is rarely a direct path to goal and teams can go for whole games simply holding on to the ball and then make one or two key finishing moves. Some call that boring, and it is, if you are in a culture that is about achieving the goal as quickly as possible and moving on. And God knows we are in a culture that loves exactly that.
You plan golf holes by pre-selecting the clubs you will use in each shot and making small adjustments as you go. In football you prepare by doing drills that improve your anticipatory awareness, help you operate in space and become more and more physically fit, so that you have more physical options. You become resilient. Yes you can scout an opponent and plan a strategy and a tactic, but football is won on the pitch and not in the strategy room. Golf is very often won in the strategy room, as long as your execution is masterful.
It’s a crude distinction and one has to be mindful all the time of downright folly of “this vs, that”, but sometimes these kinds of distinctions are useful to illustrate a point.
Just off a call with a potential client today and we were scoping out some of the work that we might do together, with a small organization facing unprecedented change. They are in a place of finally realizing that they are not in control of what is happening to them. They are completely typical in this respect.
I am constantly struck by the fact that we have so few skills, frameworks and so little language for dealing with complexity. Clients all the time approach me looking for certainty, answers and clear outcomes. It’s as if they are searching for the one person who will promise them the relief they are looking for. And no one can. Because mostly what they are FEELING is their emotional reponse to the reality of a complex world. And no amount of rational and linear planning will address that feeling. in fact quite the opposite. Sitting down and deciding on a vision, goals, objectives and plan just defers the pain, because it fools you into thinking you are in control but it sets up a false ideal against which your progress will always be measured to be short.
Confronting complexity is hard. It is not merely that we need better tools to think about it. We need better tools to emotionally deal with it. it is overwhelming, infuriating, confusing, and frightening. And almost every organization I work with that fails to address it well fails because they don’t attend to the fear. They build fears into their processes, or they build processes to avoid confronting what they are afraid of: usually that we don’t know what’s going and we don’t know what to do.
My potential client asked me if I could say what outcomes would come from working with me. In brief they are this:
- We will build the capacity to understand and work with the problems you are facing in context by confronting and changing the view we take around complexity
- We will work strategically with the content of the project, and build participatory processes together that will change the way we do the work of addressing complex problems
- We will build resilient containers for the work that will allow us to confront our fears and limiting beliefs about the work and the change we are in, and that will provide a solid strategic framework for our project.
- We will arrive at a set of strategic decisions about the present moment and be prepared to make strategic decisions about the future.
That’s it. Sometimes those outcomes are incredibly concrete, sometimes it is more about building capacity, but it is always about acting strategically, and that sometimes means learning a new language and a new set of skills. I find that it’s the learning part with which people are most impatient. They seems to want to be able to accelerate the outcomes they want without having to change their approach. But, if you found yourself teleported to rural Bangladesh and you now had to make a living as a rice farmer, do you think your current language and skill set would be applicable, if only you applied yourself harder?
There are projects that fit the ordered domain of work, in which project management and strategic planning leads to predictable outcomes. And there is work for which “learning” is both the outcome and the new organizational structure and leadership practice. It is very important not to confuse the two contexts. And it is surprising just how much we are willing to turn a blind eye to complexity (as both a friend and a foe) in favour of a stable and knowable future, no matter how impossible that idea is.
One has to be very careful attributing causes to things, or even attributing causality to things. in complex systems, causality is a trap. We can be, as Dave Snowden says “retrospectively coherent” but you can not know which causes will produce which effects going forward. That is the essence of emergent phenomena in the complex world.
But even in complicated problems, where causality should be straightforward, our thinking and view can confuse the situation. Consider this example.
Imagine someone, a man, who has never seen a cat. I know, highly implausible, but this is a hypothetical from Alan Watts’ book, On the Taboo Against Knowing Who You Are, which was written in the sixties; pre-YouTube. Watts uses this fictional fella to illustrate the unfelt influence of perspective and the dangers inherent in our strong inclination to seek cause-and-effect relationships.
“He is looking through a narrow slit in a fence, and, on the other side a cat walks by. [The man] sees first the head, then the less distinctly shaped furry trunk, and then the tail. Extraordinary! The cat turns round and walks back, and again he sees the head and a little later the tail. The sequence begins to look like something regular and reliable. Yet again the cat turns round and he witnesses the same regular sequence: first the head and later the tail. Thereupon he reasons that the event head is the invariable and necessary cause of the event tail which is the head’s effect. This absurd and confusing gobbledygook comes from his failure to see the head and tail go together; they are all one cat.”
We often create and embed the wrong patterns because we are looking through a slit. As Watts says, by paying very close attention to something, we are ignoring everything else. We try and infer simple cause-and-effect relationships much, much more often than is likely in a complex world. For example, making everyone in an organisation focus on hitting a few key performance indicators isn’t gong to mean that the organisation is going to get better at anything other than hitting those key performance indicators. All too often this will lead to damaging unintended consequences; absurd and confusing gobbledygook.
via abc ltd.
Our traditional Boxing Day movie this year was The Imitation Game, the new film about Alan Turing and his team’s efforts to break the Enigma code used by the German Navy in the Second World War. While the film itself was good it was full of fictional scenes that were intended to point at some of the interesting things that happened at Bletchley Park during that war. Having done a bit of reading on the subject, it’s clear that the film simplified many things, took liberties with others and glossed over what is a really interesting story, but the movie itself still holds up, even if Cumberbatch basically turns Turing into his Sherlock Holmes.
At any rate there were a few things in the fils that provided interesting reflections on some of the ideas I have working with a learning about both through my study of Cynefin dynamics (the way problems and solutions move through the Cynefin domains) and with the two loop theory of change which I am using a lot. So here are a few examples.
Solving problems obliquely. Complex problems can’t be solved by taking a head-on, brute force approach to the solution. The film is basically about this writ large, but one vignette stands out as interesting. When Turing needs new staff he devises a way to find them by running a crossword contest in a newspaper. Anyone who solves the problem in under ten minutes gets contacted by MI6 and invited to come and write a test. Although this is not how Joan Clarke joined the project, it was a good way of sorting out the talent from the confirmation biases that riddled the intelligence establishment (in this case gender bias).
Disintermediated sensemaking. The idea of letting everyone have the data and find patterns there is an important aspect of working with complexity. While the problems that the team were solving were indeed complicated, they needed to exploit complex human behaviours in order to have a chance to solve them. A complex problem is solvable with enough expertise, and indeed making a code HAS to be solvable if it is to work. If you don’t want others to solve it you simply make the encryption keys so elaborate that there isn’t enough time in the history of the universe to solve the problem. So while in theory, code breaking is a merely technical problem, in order to solve it, you have to narrow down the permutations to make it possible for the technical solutions to be applied. At Bletchley Park, this came down to reading human factors, which is something only the human operators could do. But they could only do that by having access to the raw data and by creating safe-to-fail probes of the system (by using these factors to solve the codes). When they worked, they were exploited.
There are some incredible stories about the way which the women who were intercepting messages came to know their counterparts in Germany. Each German communications officer had his own style, his own signature. And human error in creating predictable procedures meant that people could use these patterns as weak signal detection in order to break some messages, in the case of the Polish codebreakers that did much of the early work on cracking Enigma, even discern the wiring of the machines themselves. This is a classic pattern of what Dave Snowden calls Cynefin dynamics, specifically how we move from safe-to-fail probes in the complex domain to exploiting findings using complicated and in some cases obvious solutions.
This is a really interesting story, and I’ve ordered a couple of books to read in further. I’m very interested to see how the human factors were sensed, discerned, exploited. Combining that capacity with the incredible engineering talents of Turing and his crew provides some excellent stories and examples of Cynefin dynamics at work.