Navigating Complexity Through Collective Sensemaking

A core strategy for navigating wickedly complex problems is to try to make collective sense of the system. Like the blind men and the elephant, we all have a narrow and incomplete view of the system in which we’re operating. If we could somehow see and fit each other’s pictures together, new and powerful insights and actions could emerge.

That’s the theory, at least. But how do you do this in practice? What does the process feel like? And how do you reconcile this approach with my earlier assertion that collective intelligence is not about enabling individuals to grasp the whole system?

At last week’s Garfield Foundation Collaborative Networks initiative kickoff, Joe Hsueh walked us through his answer by drawing this graph. (Joe himself explains the graph in the above two-minute video.)

Navigating Complexity Model

We as individuals try our hardest to navigate complexity until we hit our mental capacity. Generally, that experience is so exhausting and dissatisfying, we find ourselves dropping back into simplistic, siloed thinking.

The goal of a collective sensemaking process is to help individuals endure greater complexity than we normally can handle. At some point, we still have to simplify the system in order to process it as individuals, but the hope is that, by raising the overall bar, you end up at a higher place than you were before.

With system mapping (which is the tool that Joe so skillfully employs), the map itself is of limited utility to individuals who have not participated in its creation, because they have not gone through that process of mental endurance. This is a critical point. The real value of system mapping isn’t the final artifact. It’s the process of developing shared understanding by collectively creating that map.

An Aside on Facilitation

You can’t design or facilitate these kinds of processes effectively unless you yourself have a strong framework around complexity and systems thinking. Good designers create the space for participants to live in this complexity.

Living in complexity is inherently disorienting, and people have different appetites for it. Part of the facilitator’s job is to help the group maintain their faith in the face of intense discomfort. One way you can do that is by walking the group through your framework.

Unfortunately, I often see facilitators make the mistake of spending too much time explaining frameworks up-front rather than giving the participants the space and time to experience the framework. It’s a tricky balance, and finding that balance is a sign of mastery.

At last week’s meeting, Joe offered the framework at exactly the right time. You could see the relief on the participants’ faces as he explained that the joint struggle and frustration that everybody was experiencing was all part of the process.

It reminded me of a similar moment with one of my mentors, Jeff Conklin, during the Delta Dialogues in 2012. The participants were getting frustrated by how much the conversation was jumping around (which was by design), and I felt like we were starting to lose them.

Jeff stepped in, and drew and explained a graph that described the different ways that people learn. It was beautiful to watch people’s faces light up with understanding. Jeff’s impromptu (and brief) lesson in theory not only helped orient our participants, it gave them language to describe what they were going through.

What Practice Looks Like

Joe Hsueh Mapping

I’m facilitating the kickoff of the Garfield Foundation Collaborative Networks initiative later this week. In one of the modules, I’ll be asking people to share their theories of change for the challenge we’re all tackling. You can imagine an exercise like this with a room full of veteran changemakers going for hours and hours, but we’re limiting it to 90 minutes.

The primary goal of the exercise is relational. It’s for people in the room to start developing a more explicit shared understanding of each other’s worldviews and to practice deep listening. We’ll devote an extensive amount of time after this meeting to expanding and dive deeper into this conversation. For now, we want to capture a quick picture of the collective understanding in the room.

To do that, I’m co-facilitating the exercise with Joe Hsueh, a skilled system mapper. Joe will be facilitating an extensive system mapping process after the meeting, so it made sense to use the same technique here not just as a capture method, but as a way to familiarize the group with the process.

Joe is a veteran. He’s been doing this for years, and he’s highly sought after. He not only has deep experience with mapping, he has a facilitation philosophy that is unusual for system mappers and that is strongly aligned with ours.

I’m no spring chicken either. I know what I’m doing in a room full of people. I also have a lot of experience dancing with mappers of all kinds, from dialogue mapping to graphic recording.

Joe and I have never facilitated together before, nor have we even seen each other facilitate, but we have a trust and respect for each other that would have allowed us to do this successfully cold. We spent an extensive amount of time talking through the process and exploring scenarios. Our preparation was more than adequate for us to do what amounted to a relatively straightforward exercise.

We decided not to settle for that. Joe braved some awful weather a few weeks ago to fly from Boston to San Francisco so that we could practice. We had spent plenty of time talking about the process. This was time for us to get up in front of the room, Post-Its in hand, and practice. Rick Reed and Ruth Rominger played the role of participants, then critiqued us as we reviewed our work together.

Even a little bit of practice surfaced flaws in our assumptions and different understandings of what we were doing. Most people wouldn’t have seen what we saw, but to us, it was the equivalent of stepping on each other’s toes on the dance floor.

And so we practiced and discussed and practiced some more. We discussed which color Post-Its to use in different situations and why, as well as our physical positions in the room. We figured out which exercises we could shorten and which ones required more time.

When we get together later this week to facilitate this exercise for real, everything will be different. Someone will say or do something that will once again force us to adapt on the fly. We’ll do just that, and we’ll do it skillfully. Improvisation is a huge part of doing this work well. However, as everyone who does any form of improvisation knows, you get better at improvisation — and dancing — by practicing.

In this field, most practitioners do not invest time for practice. Our mindset is that we can do a good enough job by relying purely on our experience. This is true. But ours seems to be the only field that talks about wanting to be high-performance, and yet settles for good enough. If we want to create a better future for ourselves, we have to stop settling. Practice is what will take us to the next level.

A certain level of humility is also required to embrace practice. I was particularly impressed by Joe’s learning mindset. I know a lot of practitioners who would stiffen at the thought of doing an “additional” walkthrough like we did, who would view that as an affront to their experience. I know a lot of practitioners — myself included — who don’t like “looking bad” in front of their peers. Practicing with others exposes your vulnerabilities. However, those vulnerabilities are the very reason you should be practicing in the first place. Joe didn’t seem to have those hangups. He was comfortable with how good he already was, but he wanted to get better.

In When We Were Kings, the documentary about Muhammad Ali’s legendary “Rumble in the Jungle” with George Foreman, several people noted that Ali focused almost entirely on his weaknesses during practice, and generally looked bad and vulnerable. We all know what that translated to in the ring. We as practitioners of a different sort could learn a lot from that example.

Civic Engagement Funders Aligning for Impact

SIFT Aligning for Impact

Last year, a small group of foundations who fund state-wide civic engagement (the State Infrastructure Funders Table, or SIFT) embarked on a small, but important experiment, facilitated by my friend and colleague, Rebecca Petzel.

These foundations believe that democracy in the U.S. is broken, that it’s serving the interests of the privileged over the public. They have funded many successful initiatives to try and address this problem, but they continue to face tremendous challenges, many of which are a result of poor collaboration. Specifically, different philanthropic strategies often end up crafted in isolation from each other and therefore miss opportunities to align around common goals, especially when it comes to state versus national funders.

These foundations see similar challenges with communication, coordination, and collaboration among their grantees and have asked them to work in networked ways. But the foundations themselves have not been modeling that behavior.

Looking for a better way, Renee Fazzari of General Services Foundation and Mary Tobin of McKay Foundation wanted to see if they could get a small group of funders aligned around vision and strategy, and they asked Rebecca to help them design and facilitate that process. Twenty-five funders representing 12 different states participated in this three-months conversation, which was mostly virtual and which culminated in a two-day face-to-face retreat.

At its core, this project was about creating a space for funders to have a different kind of conversation with each other. It was about getting them to slow down, so that they could work smarter. The process surfaced discrepancies in their theories of change and the language they used to describe them, it strengthened their relationships, and it created a strong commitment to do something even bigger together.

The success speaks to the skill of both the facilitation and the participation. I got a chance to watch the process from afar, and I saw many things that were particularly innovative. The process was mostly virtual, which contradicts the widely-held view that a face-to-face kickoff is the best way to build the relationships and shared understanding necessary for success.

The virtual meetings were designed with the same care as face-to-face meetings, with strong technical support, checkins and checkouts, breakouts, breaks, and most importantly, shared display. All of this lent to a feeling that participants were in the same “room” together, and participants were shocked by the high levels of energy and enthusiasm that were maintained throughout the two-hour calls. Participants took shared notes during breakouts, and Rebecca used Dialogue Mapping to capture and facilitate full-group conversation. They then synthesized these notes, with the help of creative consultant, Amy Wu, into a beautiful visual storybook that told the story of their work.

By chance, I happened to catch Mary, Renee, and Rebecca in the same place earlier this week, and they graciously allowed me to put them on the spot and record some of what they learned on video. Unfortunately, as is often the case with networks of busy people, I could not catch all three of them at the same time, so I took two 15-minute videos — one with Mary and Renee, the other with Mary and Rebecca. This actually nicely models a good network practice — talk in clusters, leave a trail — and I’m happy to share what they said here.

Tic-Tac-Toe and the Squirm Test: Building Trust and Shared Understanding

Elliott's Monster Face

Trust. Shared understanding. Shared language. I constantly mention these as critical elements of collaboration. But how do we develop these things, and how do we know if we’ve got them?

We can start by playing Tic-Tac-Toe, then by applying the Squirm Test.

Tic-Tac-Toe

Many years ago, one of my mentors, Jeff Conklin, taught me a simple exercise that gave me a visceral understanding of why trust, shared understanding, and shared language were so important, as well as some clues for how to develop these things.

First:

  1. Find a partner.
  2. Play Tic-Tac-Toe.

Try it now! What happened?

Hopefully, nobody won, but don’t stress too much if you lost. It happens!

Second: Play Tic-Tac-Toe again, except this time, don’t use pen or paper.

Try it now! What happened?

In order to play, you needed to come up with shared language to describe positions on the board. You probably managed, but it was almost certainly harder.

Third:

  1. Play Tic-Tac-Toe without pen or paper again, except, this time, play on a four-by-four board — four rows, four columns.
  2. Play until it’s too hard to play anymore, until someone has won, or until there’s a dispute about what the board looks like. When you’re done, both you and your partner should draw what you think the board looks like without looking at each other’s work. Now compare.

Try it now! What happened?

Research suggests that we can hold between five to nine thoughts in our head at a time before our short-term memory begins to degrade. This is why American phone numbers have seven digits. It’s also why three-by-three Tic-Tac-Toe (nine total squares) without pen and paper felt hard, but doable, whereas increasing the board by just one row and column (sixteen total squares) made the game feel impossible.

How many ideas do you think you’re holding in your head after just five minutes of moderately complex conversation? How often are you using some kind of shared display — a whiteboard, a napkin, the back of an envelope — to make sure that everyone is tracking the same conversation?

While you were playing, how much did you trust that the two of you were seeing the same board at all times? Were you right?

In cooperation theory, the most successful groups trust each other by default. You almost certainly assumed that your partner knew the rules of Tic-Tac-Toe and was playing it fairly to the best of his or her ability. If you already had a strong relationship with your partner, you probably trusted him or her even more.

But trust is fragile, and it’s not always relational. If it’s not constantly being reinforced, it weakens. A lack of shared understanding is one of the easiest ways to undermine trust.

With the Delta Dialogues, we were dealing with a uniquely wicked and divisive issue — water in California. As a facilitator, you always want to get the group out of scarcity thinking. But water is a zero-sum game, and no amount of kumbaya is going to change that. Moreover, we were dealing with a half-century legacy of mistrust and a group of participants who were constantly in litigation with each other.

We did a lot of unique, relational work that played an important role in the success of Phase 1 — rotating site visits, asking people to share their favorite places in the Delta, implementing a buddy system, leaving plenty of space for breaking bread. But we were not relying on these things alone to build trust.

Our focus was on building shared understanding through a mapping process that allowed the group to see their ideas and track their conversations in real-time. Prior to our process, the group had been attempting to play multi-dimensional Tic-Tac-Toe with thousands of rows and columns… and no pen and paper. We brought the pen and paper, along with the ability to wield it skillfully.

Like many of my colleagues, I believe strongly in building and modeling a culture where people are engaging in powerful, constructive, sometimes difficult conversation. Unfortunately, it’s not enough to get people into a circle and to have them hold hands and talk about their feelings. The more wicked the problem, the more inadequate our traditional conversational tools become, no matter how skillfully they are wielded.

This recognition is what separates the Garfield Foundation’s Collaborative Networks initiative from similar well-intentioned, but misguided initiatives in the nonprofit and philanthropic worlds, and it’s why I’m working with them right now. We happen to be employing system mapping (and the talents of Joe Hsueh) right now as our “pen and paper” for developing that shared understanding, but it’s how and why we’re mapping — not the specific tool itself — that separates our efforts from other processes.

The Squirm Test

How do you know how much shared understanding you have in the first place? And if you choose to employ some version of “pen and paper” to help develop that shared understanding, how do you know whether or not you’re intervention is effective?

Many years ago, I crafted a thought experiment for doing exactly that called the Squirm Test.

  1. Take all of the people in your group, and have them sit on their hands and in a circle.
  2. Have one person get up and spend a few minutes describing what the group is doing and thinking, and why.
  3. Repeat until everyone has spoken.

You can measure the amount of shared understanding in the group by observing the amount of squirming that happened during the presentations. More squirming means less shared understanding.

You can implement the Squirm Test in all sorts of ways, and it even appears in different high-performance communities in real-life. For example, the Wikipedia principle of Neutral Point of View is essentially the Squirm Test in action. If you read an article on Wikipedia, and it makes you squirm, edit it until the squirming goes away. If enough people do that, then that article will accurately reflect the shared understanding of that group of people and will thus achieve Neutral Point of View.

Toward the end of Phase 1 of the Delta Dialogues, we designed a whole day around the Squirm Test. We had participants capture on flipcharts what they thought the interests and concerns were of the other stakeholder groups. Then we had participants indicate whether these points represented themselves accurately and whether they found shared understanding on certain issues surprising. There was very little squirming and quite a bit of surprise about that fact. It was a turning point for the process, because the participants were able to see in a visceral way how much shared understanding had been built through all of their hard work together.

Last week, I was describing the Squirm Test to Rick Reed, the leader of Garfield Foundation’s Collaborative Networks initiative. He pointed out a discrepancy that I had not thought of before. “People might not be squirming because there’s no shared understanding. They might be squirming because, after seeing the collective understanding, they realize that they’re wrong!”

This is exactly what happened with the Garfield Foundation’s first Collaborative Network initiative, RE-AMP. When you are able to see the whole system, including your place in it, you may discover that your frame is wrong. The kind of squirming that Rick describes is the good kind. Understanding how to design for it is a topic for another day!