Cynefin Framework

Relief through insight

When I first shared this reality with Riva, I watched decades of guilt, perfectionism, and self-criticism fall from her shoulders. Her negative self-talk now had a mighty combatant: the truth. Using a notebook I drew the Cynefin Framework for her and explained:

“If you were a machine you would always be able to more or less predict your next blood sugar. You’d make a cause-and-effect analysis and calculate your way to a number. You control the outcome by standardizing and manipulating the variables, like food, exercise and the effect of a unit of insulin.

But as a living biological organism, most of the time managing your blood sugar relies on unknown, invisible and constantly changing and interacting variables. Then you take an action and that causes the variables and your blood sugar to fluctuate again. This, in complexity theory, is called a recursive process. You co-create a result to which you respond, which in turn changes the outcome. And this is the very nature of a complex system: the outcome is uncertain and unpredictable, and what you do may have unintended effects. There are too many unknown unknowns.

The good news is that while you can’t predict your blood sugar numbers, they are not random, and from the Complex domain you can see patterns, or dispositions. Discovering these, you can influence your numbers in the right direction. Still, there is no certainty, so you cannot be held accountable for the results. Your effort becomes monitoring and knowing what to do when a blood sugar number appears on your meter. That’s the criterion for success.”

Riva’s response was immediate: a new perspective and profound relief. Boudewijn’s explanation that she lives in the Complex domain of the Framework confirmed what she had always felt but had no language for. Together they had even photographed a subway poster that read “control is an illusion,” intuiting its truth. Understanding that managing blood sugar is a constant sense-making activity knocked the last vestige of guilt, shame, and perfectionism off her shoulders. It buoyed her energy and confidence and helped define a path toward ‘blood sugar mastery’—knowing how to recognize patterns, influence blood sugar, and respond to any number to move it in the right direction.

This transformation illustrates the power of the Cynefin Framework: a sense-making model that helps people see the type of system they are dealing with so they can choose the right action. But what exactly is Cynefin, and how did it come to hold such power?

The origin and meaning of Cynefin

Cynefin (pronounced kun-ev-in) is a Welsh word with no direct equivalent in English. As a noun it translates to habitat; as an adjective, familiar or acquainted. Yet dictionary definitions fail to do it justice. A more poetic, richer meaning comes from the introduction to a collection of paintings by Kyffin Williams: “It describes that relationship: the place of your birth and of your upbringing, the environment in which you live and to which you are naturally acclimatised.” Dave Snowden, the framework’s creator, often describes it as “the place of your multiple belongings.” The word speaks of flow through time and space, a multiplicity of tangled connections, of community. It differs from the Japanese concept of Ba (a shared space for emerging relationships) in that it links a community into its shared history—or histories—in a way that paradoxically both limits perception and enables an intuitive ability to adapt to profound uncertainty.

Cynefin began in the late 1990s during Snowden’s work on knowledge management at IBM. He was critiquing the Data-Information-Knowledge-Wisdom pyramid and arguing that knowledge exists on a spectrum between tacit and explicit. Inspired by Max Boisot’s I-Space model, he initially mapped knowledge along axes of abstraction and codification, showing that high abstraction creates notes that remind us of what we know, while low abstraction aims for codification that makes knowledge independent of people. The framework first appeared as a 2x2 matrix in 1999 and was published in the 2000 book Knowledge Horizons. Over more than two decades it evolved through continuous iteration between theory and practice, shaped extensively by teaching on flip charts, conversations with thinkers like Boisot and J.C. Spender, and the 2007 Harvard Business Review cover article “A Leader’s Framework for Decision Making” co-authored with Mary Boone. It won awards and spread into fields ranging from government and healthcare to software development and disaster response.

At its heart, Cynefin is a sense-making framework—more specifically, a naturalized sense-making framework. Sense-making asks: How do we make sense of the world so that we can act in it? Cynefin provides a practical answer by distinguishing five domains of decision-making, each with its own relationship between cause and effect, and each demanding a different mode of action.

The five domains of the Cynefin Framework

The framework uses a curved, liminal diagram to represent five domains, often remembered as four Cs and a central area of confusion.

Clear (originally called Simple or Known) – The domain of obvious cause and effect. Here, best practices exist and can be applied with little expertise. Standard operating procedures, recipes, and rules work reliably. In T1D, this domain covers extreme emergencies: severe hypoglycemia calls for an emergency glucagon injection and dialing emergency services. But as soon as the situation stabilizes, the Clear domain alone is insufficient.

Complicated – The domain of multiple right answers, where cause and effect require analysis or expert knowledge. Good practices (rather than a single best practice) apply. For diabetes, carrying glucose tablets at all times, checking blood sugar at regular intervals, and using a CGM to track trends are good practices. In organizations, this is the realm of specialists: engineers, doctors, lawyers. The instruction “organize yourselves by height, birth date, and shoe size” creates a Complicated problem; groups devise various strategies, and those who solve it become temporary experts who can teach others.

Complex – The domain of entangled, dynamic cause and effect that can only be understood in hindsight. There are too many unknown unknowns for analysis to work. The appropriate approach is probe-sense-respond: run safe-to-fail experiments, see what patterns emerge, and amplify what works. This is where most of T1D management lives—daily blood sugar fluctuates due to hundreds of interacting variables. No calculation can guarantee a number; instead, one must learn to recognize dispositions and nudge the system. In workshops, the “eclipse game” (each person simultaneously trying to keep their Moon between themselves and their Sun) creates a Complex system: frustration, emergent clusters, and heuristics like “move slowly” arise naturally without any central plan.

Chaotic – The domain where cause and effect are completely unclear and turbulence reigns. Immediate stabilizing action is required: act-sense-respond. A patient rushed to hospital in a severe hypoglycemic crisis enters chaos; emergency workers may not know the person has T1D and may make mistakes. The boundary between order and chaos is a cliff, not a smooth transition.

Confused (or Disorder) – The central domain where it is not clear which of the other domains applies. This is a legitimate state of not-yet-knowing. In T1D, confusion arises when a blood sugar number appears and the person has no idea why. The framework encourages leaning into confusion as a portal to sense-making, rather than forcing a premature categorization. In the liminal version of Cynefin, the Confused domain includes an aporia zone—deliberate puzzlement through paradox and questioning that can unlock fresh insight.

Cynefin adds four liminal subdomains that lie between the main domains, representing transitions. For example, the liminal space between Complex and Complicated is where we move from emergent insight to codified good practice. The liminal aspect acknowledges that movement and boundary-crossing are where much of the practical work happens.

Dynamics and key principles

Cynefin is not a static classification tool; it is about movement. The framework recognizes that situations shift across domains—a stable Complicated process can slide into Chaos if critical expertise is lost, and a Chaotic crisis can be stabilized into Clear routines. Understanding these dynamics helps leaders avoid catastrophic domain-crossings (such as the “Masada Gambit”—throwing things into chaos for its own sake when ordered approaches fail) and instead navigate transitions mindfully.

Two foundational principles underpin all use of Cynefin:

• Bounded applicability: Most things have value within certain boundaries. Nothing works universally; everything is context-specific. Ordered approaches are valuable in ordered domains but become destructive when forced onto Complex systems. The goal is not to discard past methods but to understand where they fit.

• Coherent heterogeneity: Embrace as much diversity as possible without becoming incoherent. This allows multiple perspectives to coexist and enrich sense-making, rather than imposing a single “one size fits all” narrative.

A third principle, from Alicia Juarrero’s work, is the critical role of constraints. In ordered systems, we impose rigid constraints (rules, procedures). In complex systems, we use enabling constraints—boundaries that create a field of possibility without dictating exact paths. Safe-to-fail experiments are a form of enabling constraint: they limit the downside while allowing novel patterns to emerge.

How Cynefin shows up in practice

Healthcare and type 1 diabetes. The diabetes story that opened this chapter is not an isolated example; it reflects a broader reimagining of chronic disease management. When T1D was diagnosed in 1972, management was squarely in the Clear domain: a prescribed diet, urine testing, and the same insulin dose every morning. Today, with continuous glucose monitors, varied insulins, and countless influencing factors, it is a constant sense-making activity. Studies show people with T1D make about 180 decisions daily. Yet the myth of control persists, fed by devices that promise precision but often lead to self-blame when numbers are not perfect. Clinicians who embrace Cynefin can meet patients in the Complex domain—listening to their stories, exploring patterns, co-designing safe-to-fail experiments, and replacing judgmental labels like “non-compliant” with curiosity. Success becomes the ability to recognize patterns and respond effectively, not to hit a fixed number.

Safety and risk. Safety culture is a Complex phenomenon. Traditional Safety-I focuses on identifying known risks and preventing things from going wrong; it excels in ordered domains. But in complex socio-technical systems, the unimaginable can happen. Safety-II, inspired by complexity thinking, focuses on what makes things go right and builds capacity for adaptive response. Cynefin bridges the gap between workers at the sharp end—who navigate complexity daily—and regulators who often rely on linear models. It helps organizations acknowledge that incidents often emerge from system complexity rather than simple cause-effect chains, and that cultivating resilience requires both best practices for the known and flexible heuristics for the unknown.

Strategy and leadership. Strategy is no longer a static document but a dynamic movement through the domains. A printed strategic plan is often obsolete on arrival. Cynefin reframes strategy as a verb: a continually evolving process that guides attention, decision-making, and action in a way that remains coherent with purpose. Leaders allocate resources across tactical, strategic, and horizon time-frames—much like a barbell approach, balancing high-probability incremental improvements with asymmetric investments in emergent possibility. In law enforcement, a supervisor might shift from Command & Control in a Clear situation to Mission Command in a Complex one, matching leadership style to domain.

Public service and the small country effect. Wales has been a living laboratory for Cynefin in public services. The 2015 Wellbeing of Future Generations Act—requiring public bodies to act sustainably and consider long-term impact—aligns deeply with Cynefin’s principles of emergence, local context, and safe-to-fail learning. Early adopters in Welsh health services ran SenseMaker® projects to collect micro-narratives and understand complex community needs, moving away from “one size fits all” policies developed in Cardiff headquarters. Small countries (defined loosely as groups under 5 million with strong local identity) seem particularly receptive; Cynefin has spread through Wales, New Zealand, Nova Scotia, and other pockets, often through a band of excited activists who, as one participant put it, “can’t unsee it.”

Complex facilitation. The shift to complexity changes facilitation itself. Traditional facilitation aims to support groups in reaching a defined outcome through structured processes, with the facilitator often acting as expert or guide. Complex facilitation, in contrast, designs conditions for a shared understanding to emerge without the facilitator engaging in content. Instructions may be deliberately ambiguous, outcomes are not predetermined, and the responsibility for making sense shifts to the group. This can be uncomfortable—for participants used to being led, and for facilitators who must embrace uncertainty—but it unlocks novel insights and responses that ordered facilitation cannot reach.

Using micro-narratives and SenseMaker®. In ordered domains, measurement and statistics suffice. In the Complex domain, people make sense through experiences and stories. Political campaigns have used SenseMaker®—a tool that collects micro-narratives and allows respondents to self-interpret them—to detect authentic support beneath misleading polls. During Colombia’s 2018 presidential election, the winning campaign used SenseMaker to reveal that a heavily hyped opponent had little true popular backing, allowing them to allocate scarce resources correctly. This approach exemplifies how narrative-based sense-making can decode complexity.

Exercises that bring the domains alive. Teaching Cynefin often involves three experiential exercises:

1. “Organize yourselves by height in 30 seconds.” Groups invariably succeed with a single best practice—a Clear domain task.
2. “Organize by height, birth date, and shoe size in 5 minutes.” This Complicated problem yields multiple good practices, and some participants become temporary experts who can teach others.
3. The eclipse game: each person secretly chooses a Sun and a Moon and tries to keep the Moon between them and the Sun. The room immediately moves into a Complex adaptive system—frustration, emergent clusters, heuristics, infinite play, and no single solution. Debriefing the differences opens a deep conversation about leadership, constraints, and the dominance of linear problem-solving habits.

A tool for embracing the unknown

Cynefin is not merely a classification grid; it is a way of being in complexity. It helps us navigate intentional and emergent change, surprise, and possibility. In disaster response, for instance, a command center holds both Clear protocols for generator start-up and Complex real-time coordination, moving fluidly between domains under extreme stress. The framework enables a kind of preparedness that extends beyond planning for the imaginable to nurturing the capacity to adapt to the unimaginable.

It also reshapes risk practice. Risk management in traditional form tends to obsess over threats and controls; Cynefin invites a parallel focus on possibility and nurturing the system. Instead of engineering defenses against every imaginable threat, practitioners run safe-to-fail experiments, amplify emergent solutions, and cultivate conditions from which new capabilities can arise. As Rebecca Solnit writes, “Hope is an embrace of the unknown and the unknowable, an alternative to the certainty of both optimists and pessimists.”

Mastery as an infinite game

Just as complexity is not a higher order of complicatedness, mastery is not the meticulous codifying of good practices. The pursuit of mastery in any field that touches complexity—whether blood sugar management, leadership, safety, or strategy—is emergent and ongoing. It is an infinite game played in a dynamic, messy, fragmented world. The Cynefin Framework serves as a navigation tool that entices us to think differently about risk, control, and our role as stewards of the systems we inhabit.

Cynefin’s own journey is instructive. It has come home to Wales not as a rigid doctrine but as a living framework that evolves with its users. In the words of one practitioner, “I’ve seen it. I can’t now unsee it.” Once you learn to recognize the different domains, the world looks different. You stop blaming yourself for failing to control the uncontrollable. You stop imposing ordered solutions on complex problems. Instead, you probe, sense, and respond. You cross the river by feeling the stones—setting a direction, taking a step into the adjacent possible, and trusting that the next stone will become visible when you need it.

A Mulla Nasrudin story serves as a cautionary parable for Cynefin practitioners: Nasrudin found a weary falcon on his windowsill. He had never seen such a bird. “You poor thing,” he said, “how ever were you allowed to get into this state?” He clipped the falcon’s talons, cut its beak straight, and trimmed its feathers. “Now you look more like a bird,” said Nasrudin. The framework warns us: don’t trim the falcon. Don’t force the complex into the ordered. Instead, leave the door open for the unknown—that’s where the important things come from.