What Is Dialogic Systems Change?
The shift from diagnosing systems to changing the conversations that hold them in place.
Many failed systems change initiatives of recent decades probably had something in common: they were likely built on excellent analysis. The problems had been carefully scoped, the leverage points identified, the theories of change developed with clear logic and strong evidence, the right stakeholders consulted. And then the system absorbed the interventions, adapted around them, and continued producing the same outcomes it always had.
We keep assuming the problem is implementation. It isn’t. The problem may be that the more rigorously we analyze a complex social system from the outside, the less capable we become of actually changing it—because the very act of standing outside the system to diagnose it and to intervene severs us from active participation in the basic meaning-making that holds it in place.
Anyone working on complex social challenges knows by now that complex adaptive systems are not machines with malfunctioning parts. What we don’t seem to fully grasp, however, is that they are not just complex adaptive systems. They are also human systems that reflect our desire for purpose, power, and meaning. They are not just networks of relationships, but webs of meaning, configurations of mutually reinforcing beliefs, narratives, relationships, and tacit agreements that make current arrangements feel normal, necessary, and legitimate to the people inside them.
Complex adaptive systems include many non-human systems—like ecosystems, social insect colonies, and the immune system. These are definitely complex and definitely adaptive. What they are not is subjectively problematic. At least as we understand things now, ecosystems, insects, and immune systems aren’t driven by what has meaning to them.
In complex human systems, meanings hold things in place, and new meanings can be transformational. But as much as we may be attracted by new approaches to strategic communications or narrative change strategies, meanings only sustainably shift when they are actively re-created in the social space. This is what dialogic systems change makes possible. And it is why, for genuinely complex, human challenges, it is not one approach among many but may be the only approach that engages our most intractable challenges at the level where they actually live.
The Case for Dialogic Approaches
What makes complex adaptive challenges fundamentally different from technical problems is not just their scale or their interconnectedness. It is their holistic nature. We cannot understand a complex social system by decomposing it into parts and studying each in isolation, because the system’s behavior emerges from the relationships among the parts—relationships that disappear the moment you separate them for analysis. And you cannot change it by acting on one part at a time, because the rest of the system will compensate, adapt, and reassert itself around whatever single intervention you have introduced.
Dialogic approaches are well-suited to complex challenges because they are holistic by design. While they draw on and incorporate diagnostic tools that reveal patterns and dynamics in the system, they don’t attempt to solve complexity by simplifying it into a tractable model. Instead, they create structured conditions for groups to digest and reflect complexity, and to act wisely within it.
When we add the complexity of human hopes, fears, and meaning to systems’ structures and dynamics, what was merely complex becomes, well, complexly human.
When we add the complexity of human hopes, fears, and meaning to systems’ structures and dynamics, what was merely complex becomes, well, complexly human. Because our reality is socially constructed, we need natively social processes to change it. This is where dialogic approaches are uniquely suited, especially when they engage whole people—heads, hearts, spirits, and hands—in generating shared meaning and shared action.
The shift in orientation is fundamental. Diagnostic approaches ask: what is wrong with this system, and how do we fix it? Dialogic approaches ask: what configurations of meaning hold this system in place, what conditions might enable something genuinely new to emerge, and maybe most powerfully, who do we aspire to be? The difference is not merely philosophical. It determines what knowledge gets into the room, who is treated as an expert, what counts as a valid insight, and whose dreams and desires are centered in the process.
Core Principles
Six principles appear to define dialogic systems change across the major frameworks and methodologies that have developed in this field. They reflect a significant convergence across traditions that arrived independently at closely overlapping conclusions.
Reality is socially constructed.
Reality continually arises from the meanings people make about what is real, what is possible, who has legitimate authority, and what counts as evidence. This does not mean structures in a system are easy to change; it means they derive their solidity from collective meaning-making and can only be durably changed when that meaning-making shifts. Structural redesign without meaning-change produces compliance at best and reversion, or what Brenda Zimmerman called “snap back,” at worst.
Holism is a necessity, not a preference.
Holism in dialogic systems change operates across four dimensions, each reflecting the same core insight: no element of the system, working alone, can see or shift the whole. The most visible dimension is stakeholder diversity: because no single actor, discipline, or sector can perceive the full complexity of a system, effective change requires the system’s diversity to be genuinely present (Cilliers, 1998).
The second dimension is epistemological: holistic practice draws on multiple ways of knowing—analytical, narrative, relational, emotional, embodied, and more—because the most important knowledge about complex human systems often lives in registers that quantitative tools cannot reach.
The third dimension is systemic depth: working simultaneously at structural, relational, and transformational levels, recognizing that structural change without shifts in relationships, power dynamics, and shared mental models tends to produce the snap-back Zimmerman described.
The fourth is strategic diversity: rather than betting on a single intervention, dialogic systems change efforts tend to advance portfolios of initiatives addressing different pressure points simultaneously, treating early results as learning rather than proof and remaining adaptive as the system responds.
Meaning is relational and emergent, not transmitted.
Shared understanding cannot be delivered through information transfer or imposed through expert analysis. It emerges through structured collective inquiry into the relationships among diverse observations—their similarity, their differences, their relative priority, their influence on one another. Without this relational inquiry, groups produce lists and diagrams; with it, they produce maps with nuance and complexity. The difference between a list of observations and a constellation map is the difference between knowing what people think and understanding why the system behaves as it does.
Transformational change is emergent, not planned.
Complex human systems cannot be steered to predetermined outcomes through linear implementation of expert-designed solutions. The role of the change agent is not to engineer solutions but to create conditions in which new possibilities can emerge from the self-organizing capacity of the system itself. This requires tolerating uncertainty and resisting the pressure to close on solutions before genuine shared understanding has developed. As Bushe and Marshak put it, transformational change requires disrupting limiting patterns and creating generative images—not implementing prescriptions (Bushe & Marshak, 2009).
We must engage whole people.
Complex challenges require cognitive, emotional, intuitive, and somatic dimensions of human experience, not just analytical reasoning. Meaning-making that bypasses the emotional and relational dimensions produces intellectually coherent plans that no one is genuinely committed to. Methods must support people to engage as full human beings rather than as representative roles or repositories of technical knowledge. The quality of attention and intention that practitioners bring to a system—what Scharmer calls presencing—is as generative as any process design (Scharmer, 2016). But this extends to active application of learning as well, engaging our hands and feet in action that produces visible results and, in turn, informs our learning about the system.
Authentic participation is non-negotiable.
Action plans designed without the genuine engagement of those whose futures are at stake will fail—not because of poor implementation but because the essential knowledge those people carry is absent from the design, and the real ownership that drives implementation was never established. The engagement is not a process nicety; it is a structural prerequisite for effectiveness (Laouris, 2008). Authentic participation also has a historical dimension: those most harmed by the current system carry irreplaceable knowledge about how it actually functions, and their exclusion from change processes is both an ethical failure and a practical one.
An Expanding Field of Practice
In 2005, Bettye Pruitt and Steve Waddell published what may be the first systematic attempt to identify and define large-scale dialogic change processes. Surveying 36 cross-sector global change initiatives for the Generative Dialogue Project, they found an emerging consensus around a distinctly social approach: engaging diverse system actors (versus consultants) as genuine issue owners and decision-makers in processes aimed at third-order change, the kind that redefines the game rather than merely reforming it.
In the two decades since, the practice of dialogic systems change has matured considerably. What Pruitt and Waddell named and called for, the field has been quietly building, and a growing number of organizations and frameworks have developed approaches to large-scale systems change that embody these principles. The following examples illustrate the range of what dialogic systems change looks like in practice.
Agoras Systems Scientists’ Structured Dialogic Design guides heterogeneous groups through a structured search for influence relationships among their observations.
CoCreative’s Collaborative Innovation approach combines stakeholder diversity, structured dialogue for shared sensemaking, emergent strategy, and co-ownership of both the analysis and the action into an integrated approach.
Collective Leadership Institute’s Dialogic Change Model employs a four-phase process architecture—energizing, consolidating, implementing, and institutionalizing—to catalyze multi-stakeholder collaboration toward shared sustainability goals.
Collective Change Lab has extended the Collective Impact framework by centering relational and healing dimensions that structural approaches tend to omit as a form of systems change.
Presencing Institute’s Theory U frames systems change as an awareness-based practice, moving through a process of co-sensing, presencing, and co-creating.
Reos Partners’ Social Labs engage diverse stakeholders in teams that develop portfolios of prototype solutions, test them in real-world conditions, and iterate.
Tokona te Raki’s Te Korekoreka grounds collective future-making in mātauranga Māori, guiding groups through four interconnected realms drawn from Kāi Tahu creation traditions: Te Ao Tūroa (current reality), Te Kore (deep inquiry into the past and its roots), Te Pō (creative visioning and design), and Te Ao Mārama (the emergent future).
(This list is a sample, and likely very biased by my own experience and research so far. Have other examples? Please share in the comments below.)
A different relationship with complexity
What unites these approaches is not a shared methodology but a shared epistemological stance. They do not treat complexity as a problem to be solved. They treat it as the medium in which consequential human work happens—work that requires gathering the full diversity of the system, engaging with its full history and aspirations for the future.
The frameworks and processes that have emerged in this field over the past 20 years are significant not because they have made holistic engagement easy but because they have made it workable. The structured conditions they provide—the discipline of stakeholder diversity, the scaffolding of structured dialogue, the temporal awareness across timeframes, the protection of each observer’s authentic voice—are not constraints on the creative process. They are what make it possible for genuine collective intelligence to emerge from the irreducible complexity of human systems trying to change themselves.
The question is not whether to work dialogically. For genuinely complex, human challenges, the answer seems clear. The question is whether we have the institutional patience, the facilitative skill, and the willingness to not know in advance what our systems will teach us.
Reference List
Ashby, W.R. (1956). An Introduction to Cybernetics. Chapman & Hall. [Law of Requisite Variety]
Bushe, G.R. & Marshak, R.J. (2009). Revisioning organization development: Diagnostic and dialogic premises and patterns of practice. Journal of Applied Behavioral Science, 45(3), 348–368.
Cilliers, P. (1998). Complexity and Postmodernism: Understanding Complex Systems. Routledge. [Darkness Principle]
Laouris, Y. (2008). Structured dialogical design. Systems Research and Behavioral Science. [Law of Requisite Action]
Lipmanowicz, H. & McCandless, K. (2013). The Surprising Power of Liberating Structures. Liberating Structures Press. [Liberating Structures; 33 microstructures]
Miller, G.A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. [Cognitive scaffolding; working memory limit]
Pruitt, B. & Waddell, S. (2005). Dialogic Approaches to Global Challenges: Moving from ‘Dialogue Fatigue’ to Dialogic Change Processes. Generative Dialogue Project working paper. [Social practice approach; third-order change; dialogue as verb vs. noun]
Scharmer, C.O. (2016). Theory U: Leading from the Future as It Emerges (2nd ed.). Berrett-Koehler. [Presencing; inner dimension of systems change]
Tsivacou, I. (1997). The rationality of power and the power of rationality at work. Systems Practice and Action Research. [Law of Requisite Autonomy and Authenticity]
Zimmerman, B. (2011). Complexity and the Art of Public Policy (with D. Colander & R. Holt). Princeton University Press. [Snap-back]
Related Articles:
Making Together: The Emergence of Dialogic System Change
Are we seeing two different models of change, or a fundamental evolution of the field?
The Radical Root of Dialogic Change
Truth can’t live inside any individual mind. Here’s what that means for how we work together.
The Interior State of the Convener
How your inner experience and the quality of your presence shapes what becomes possible in the room.
Let Strategy Emerge: Inductive Approaches to Complex Change
Why planning from the top down fails in complex change, and why inductive thinking works.
Why Big Change Starts with a Big “Why”
“Let purpose be your bouncer.” - Priya Parker, The Art of Gathering
Russ Gaskin is founder and co-owner of CoCreative, a consulting and training organization specializing in network weaving, systems change strategy co-design, and facilitation of multi-stakeholder collaborations.
To learn how to design and facilitate effective dialogic processes, sign up for training with CoCreative.




Very interesting post :) I think at Process Work as another dialogic approach: https://www.processwork.org/tree/organizations-worldwork/
Another is the CAS2 framework for complex adaptive systems by Joe Sinfield!