Back in the fall I got to finally do some work with my friends Peggy Holman and Stephen Sliha (and Carol Daniel Kasbari too!) with the fabulous organization Journalism That Matters. I was able to do a little process hosting and participating in the developmental evaluation that was going on during the two day conference in Portland.
Last month Peggy published an overview of what we learned in that conference. Embedded in that report is this video made by some of the students on the evaluation team. It contains interviews with many of the participants who had epiphanies about what else journalism could be.
It seems obvious to think that journalists, being storytellers, can help communities tell their stories and represent themselves. But I’m interested in the “weak signal” of journalists actually doing the convening of conversations. Journalists don’t only have the power to tell stories, they also have the power to call together people in conversation. They do it whenever they call up a source for a comment on a story. They do it on radio or TV when they call a panel of people to discuss or debate something. They do it in print or online when they host opinions and curate comment sections (and they DON’T do it when they just leave comments sections open). Why don’t journalists call community meetings? Why don’t they host larger scale gatherings where people discuss their communities issues, even come up with solutions, find each other and work together? Sometimes journalists “moderate town halls” but that’s really not the same thing.
I think the new frontiers in journalism are not only in using their media tools in novel ways. I think journalists can now think about how to extend their hosting practice in new ways too, to help communities find the resources they need inside themselves to address the challenges they face. And that would be another way that journalism could matter.
In the complex space, Paul Hobcraft shares some very good guiding principles, but the whole post shimmers with good advice about transformation, and is applicable to movement building, network organizing and enterprise.
Today corporate transformations must be designed and executed quickly and routinely—not as once-a-decade events. Management teams are looking for best practices that increase speed and reduce the risk of pursuing business model innovation and change. That’s where minimum viable transformation comes into play. Before diving in, management teams should consider these five principles:
1. Learn how to learn. The central goal of minimum viable transformation is to learn from a true field experiment.
2. Pick up speed. There’s a reason this approach starts with the word “minimum”: The learning has to happen fast. As soon as a company executes the idea it’s pursuing, it shows its hand to competitors— who will quickly respond with their own strategies.
3. Embrace constraints. Much has been written about the counter-intuitive effect of constraints—they don’t foil creativity, but fuel it. It’s worth noting that the very constraints we’ve been talking about here—few bells and whistles and scarce time—take real creativity to address. At the very least, they compel a focus on the goal—the need to learn and reduce risk around the key objective.
4. Have a hypothesis. To succeed, transformation initiatives must clearly articulate both the need for change and its direction. Such a statement of direction helps identify key assumptions driving the change effort (assumptions that will need to be tested and refined along the way). Leaders will also need to develop metrics that measure short-term progress.
5. Start at the edge. Find an “edge” of the current business—a promising arena that can showcase the potential of a fundamentally different, highly scalable business model that could even become a new core. Starting at the edge gives the transformation team far more freedom to test and experiment, and more ability to learn and react quickly.
In short, these five key principles can help bypass traditional barriers to transformation, ultimately supporting more effective response to mounting performance pressures.
via Deeper read or quick summary- finding the time | Paul4innovating’s Innovation Views.
Courtesy WRme2 on flickr
Entraining your mind to outcomes is the hardest practice to beat as a facilitator working in complexity. Whether it is learning, strategy or design, if you are in the complexity domain your attachment to an outcome is highly dangerous. It will shape your process, and cause you to harvest only what you are looking for, missing out on the juiciest, most powerful places of potential in a system.
Over the past week I managed to watch the entire 10 part series on the trials of Steven Avery on Netflix called Making a Murderer. Regardless of whether you think Avery is guilty or innocent of the murder, the series is a brilliant case study in what happens when we enter processes with our minds made up about the outcomes.
At one point in the final episode, Avery’s lawyer Dean Strang talks about the fact that people hardly ever set out to frame innocent people. Instead what they do is try to find the evidence to prove the guilt of those that they believe are guilty. When you believe someone is guilty you will look for evidence that proves that. And when you are an investigator that is a completely focused on a single outcome, you are going into the work with the problem already solved, and no amount of contrary evidence will change your mind.
Strang is gracious is labelling this a feature of the human condition: we are built this way. And it is that human failing is what makes justice sometimes an unattainable ideal.
Making A Murderer is an incredible portrait of how the entrained mind works. It illuminates a problem we all have to confront when problem solving, harvesting data and dealing with complexity: how do we let go of a pre-conceived outcome so that we can truly learn what’s going on and make decisions based on good information? And how do we do that while still holding on to a higher ideal. In other words, everyone in the case was motivated by justice (and justice what SHOULD have led everyone in the case), but the evidence that was collected and presented seemed to have motivated by a pre-conceived outcome to the trial.
In the world of practical complexity work there are a number of principles I have been using in harvesting and working with data, many of them informed by Dave Snowden’s work. These include:
Gather information with open questions that do not embed assumptions in them (the interrogation of Brendan Dassey is a perfect example of the very opposite of this – fishing for answers). In truly complex situations don’t ask direct questions, rather ask indirect questions about a person’s activities so they can’t game the system (or confirm your bias).
- Work at a very fine level of granularity – the more data you have the more ambiguous the conclusions will become, which is a good thing if you’re trying to learn the truth rather than trying to pre-determine an outcome.
- Use a diverse group of people to make sense of the data as they see it by looking for patterns in the data and asking questions that can be answered by further sensemaking. (The bones were in the firepit? How did they get there? Where were the people that could have moved them? What was happening during the time the body was burning?)
- When you discover a pattern check and see if it makes sense by looking for data that supports the pattern AND look for data that refutes the pattern. The human brain loves being validated so you have to make a special effort to invite a theory to be disproven.
- When you make a decision based on a pattern, lead by doing what you can to move towards the higher ideal, even if the path you choose is not the outcome or the pre-conceived notion you started out with. Leading and acting in this way, providing you have worked well with the data, results in BETTER ways to help build just socieities, make good things, improve organizational life or look after children and families.
These are good practices in and of themselves, and in my experience they also stand out as red flags if I see people engaging in teh OPPOSITE of these activities. If we are faced with closed questions, very small numbers of meaning makers, a refusal to hear dissent or a desire simply to see the big picture rather than the minutae, it causes me to explore in more detail the motivations and assumptions that people have. And like Dean Strang says, most people are not consciously out to commit an injustice, they are just unconsciously out to prove what they think they already know. That can have devastating consequences.
Spending a nice New Year’s Day alone at home. Pot of tea, beautiful sunny day that I will shortly head out into for a walk, and then home maybe to play some music, restring the guitar, learn a jig or a reel or two on the flute…
Listening this morning to CBC Ideas who are doing a great show on the number “50” and, because Charles Darwin wrote The Origin of Species at age 50, they have just played Baba Brinkman’s rap “Artificial Selection.”
One little line stood out, something about the fact that in evolution, little differences are what provide us with evolutionary potential. This immediately rang bells for me as I’ve been thinking about this in the work of strategy, whether that means creating a ten year plan for an organization or simply exploring options for moving forward on a discrete piece of work. Finding the pathway of best evolutionary potential requires that we introduce diversity and difference into the system. Working together across difference, as my friend Tuesday Ryan-Hart would say, is a strategic and evolutionary imperative. Accentuating the differences between each other is crucial for learning new things, seeing the world in new ways and finding new pathways out of complex tangles.
This is one of the reasons I like Open Space Technology so much. It brings a huge variety of exploration to a common topic to create multiple pathways forward for exploration. Buit whatever we can do to accentuate our differences and work together across them actually improves the evolutionary potential of the system we are in.
I’m prepping for a small gig with a non-profit moving to a shared leadership model, and also reading a bit more on Cynefin strategy, and so there are a lot of tabs open in my browser this afternoon. instead of saving them all to an Evernote folder, I thought I’d share the best ones with you.