Stacey Matrix: the Basics and Diagram

Article by: Lars Weijers

Last update: October 10, 2025

Stacey Matrix: Decision-making is at the heart of every organization. Making decisions in an increasingly complex world is no easy task. Some problems can be solved quickly with existing knowledge, while others require collaboration, flexibility, and experimentation. To understand this variation, British organizational scientist Ralph D. Stacey developed the Stacey Matrix. This matrix places issues on a spectrum from simple to chaotic, providing a framework for strategic thinking and action.

Curious about what the Stacey Matrix is? How the model works? And what role it plays within agile and scrum? In this article, we discuss the theory, practical applications, and make various comparisons. Enjoy reading!

What is the Stacey Matrix?

The Stacey Matrix is a model that helps managers and teams to better understand complex issues. As mentioned in the introduction, it was developed by British management scientist Ralph Douglas Stacey in the 1990s in response to the increasingly complex organizational context. According to Stacey, decision-making is not always a linear process. The degree of certainty about cause-and-effect relationships and the level of agreement on goals and means largely determine which approach is appropriate.

The matrix consists of two axes: certainty and agreement. The vertical axis indicates how predictable the situation is: do we know exactly what the outcome of a decision will be, or is there a lot of uncertainty? The horizontal axis shows the degree of agreement: do stakeholders largely agree, or are there divergent views and conflicting interests?

According to Simon Fraser University, the strength of the model is that it shows “how the style of management needs to change as one moves away from the certainty and agreement zones into areas of complexity and chaos.” In other words, as problems become more complex, traditional management methods become less effective and a more adaptive approach is needed.

What dimensions does the Stacey Matrix model consist of?

As mentioned above, the Stacey Matrix model uses two different dimensions. These are the degree of agreement (vertical axis) and the degree of certainty (horizontal axis). Combining these dimensions creates one of four quadrants, each representing a different type of decision-making process. These axes and quadrants are explained below

Horizontal axis: degree of certainty

The horizontal axis of the Stacey Matrix represents the degree of certainty about the actions to be taken and expected outcomes. When this axis is on the right, there is a high degree of certainty, which means that cause-and-effect relationships are clear and predictable results can be expected. On the other hand, when the axis is on the left, there is a low degree of certainty, indicating unknown or unpredictable outcomes.

Vertical axis: degree of agreement

The vertical axis represents the degree of agreement or consensus among those involved about the actions to be taken and the goals to be achieved. The higher you are on this axis, the stronger the agreement will be. A low position on this axis, on the other hand, indicates a lack of consensus or even conflicting views.

Figure 1 – Stacey Matrix Diagram (Stacey, 1996)

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The four quadrants of the Stacey Matrix

The combination of the two dimensions ultimately leads to four quadrants that represent different types of decision-making environments:

Simple

In this quadrant, both the degree of certainty and the degree of agreement are high. Decisions are straightforward and can be made based on best practices and standardized procedures.

Complicated

In the complicated quadrant, certainty is high, but the degree of agreement is very low. The outcomes can often be predictable, but there are different approaches to achieving them. This often leads to divergent opinions and the need for expert analysis.

Complex

In this quadrant, both certainty and agreement are low. The results are difficult to predict and there is little consensus on the most effective strategy. Decisions require an iterative approach, with experimentation, learning, and adaptation being the most important elements.

Chaotic

In this quadrant, both the degree of certainty and the degree of agreement are very low. The situation is uncontrollable and requires immediate action to restore stability. Traditional decision-making processes are not effective here; instead, rapid and crucial interventions are required.

By integrating situations within this model, organizations can gain a better understanding of which approach is most effective, depending on the specific situation and the uncertainties and differences of opinion that exist. This enables them to create and implement appropriate strategies that match the nature of the challenge.

The Stacey Matrix as a compass for Agile decision-making

Within Agile and Scrum, the Stacey Matrix can be a valuable tool because it provides insight into the complexity of situations. Instead of following specific processes, the Stacey Matrix model encourages teams to be flexible and adaptable. This is essential in a rapidly changing environment.

According to the Open Practice Library, the Stacey Matrix offers “a clear framework for making decisions based on the specific context of the situation.” This fits seamlessly with the core principles of Agile, such as flexibility and customer focus.

By using the Matrix, teams can (even) better understand the degree to which a situation is predictable (horizontal axis) and the degree of agreement (vertical axis).

How do you apply the Stacey Matrix in practice?

Applying the Stacey Matrix starts with clearly formulating the issue. Describe exactly what is going on, what the goal is, and what uncertainties or assumptions play a role. Next, examine the extent to which those involved agree on the nature of the problem and the desired direction. Major differences of opinion often indicate complexity.

Next, determine the degree of certainty: how much knowledge and predictability is there about the possible solution? Are there proven methods, or is the situation constantly changing? These two insights—agreement and certainty—together determine where the issue falls in the matrix.

If the issue is in a stable, predictable environment with a high degree of agreement, a structured approach with clear procedures is appropriate. If it is in an uncertain or changing context with divergent opinions, a more experimental, flexible approach is better, such as agile or design thinking.

In organizations, the Stacey Matrix is often used in this way to clarify the nature of a problem and choose the right approach. According to the Praxis Framework, the model helps determine the most appropriate strategy for managing risks and making decisions that match the level of complexity. This makes the matrix widely applicable—from strategic management to operational teams.

In agile project teams, for example, the matrix is used to determine whether an approach such as Scrum is appropriate. For complex issues without a clear solution, experimentation, learning, and adaptation offer the most value. In more predictable and stable situations, the matrix helps to structure and standardize processes, for example in production environments or quality management.

It is important not to view the position in the matrix as fixed. As more knowledge or consensus emerges, a complex issue can shift to a simpler domain. The Stacey Matrix thus helps to consciously choose the right approach instead of automatically resorting to a fixed method.

Stacey Matrix versus the Cynefin Framework

The Cynefin Framework and the Stacey Matrix were both designed to structure decision-making in complex environments. Both emphasize that not every situation can be approached in the same way and that complexity and uncertainty influence the choice of strategy.

The Cynefin Framework goes a step further by distinguishing five quadrants and showing how behavior and decision-making differ depending on the context. The model is particularly useful for situations in which outcomes are unpredictable and adaptive action is required. The Cynefin Framework model clarifies which behavior is successful in a given context

The Stacey Matrix as a strategic tool for the future

The future of organizations is characterized by uncertainty: digitization, artificial intelligence, climate issues, and geopolitical shifts mean that predictability is becoming less and less a given. The organizational context of today differs greatly from that in which the Stacey Matrix was developed. Yet the model is more relevant than ever, because in today’s context, the Stacey Matrix can serve as a strategic tool for providing direction and creating order.

By using the matrix as a reflection tool, managers and teams can get a handle on the diversity of challenges. The model helps organizations to avoid labeling everything as chaotic, but rather to distinguish where flexibility and fixed structures are necessary. In this way, organizations can respond more quickly to change and proactively build resilience and innovation. Thus, despite its origins in the 1990s, the Stacey Matrix is still extremely relevant in a future characterized by complexity and constant change.

The limitations of the Stacey Matrix

Despite the broad applicability of the Stacey Matrix, it also has its limitations. The model sometimes leads to simplification, because issues are placed in a quadrant, while they often have multiple characteristics at the same time. For example, a sustainability issue may contain predictable elements, but at the same time also unpredictable and complex dynamics in the chain.

Finally, the Stacey Matrix hardly addresses the influence of external factors such as politics, culture, or technology. Decision-making is often influenced by changing environmental factors that are not easy to place in the model. This means that additional analysis is necessary in some cases.

💡 Tip: Use the Stacey Matrix together with Agile and Scrum to better deal with complex situations in which flexibility and iterative working are key. See also the Cynefin Framework for additional insight into how different contexts require different decision-making styles.

Now it’s your turn

What do you think? Do you now have a better understanding of the Stacey Matrix model? Have you had any experience applying this model in your organization or project team? What insights or challenges have you encountered when using the matrix?

Share your knowledge and experiences in the comments section below this article.

Recommended books and publications about the Stacey Matrix

AgilityPortal. (2023). Understanding the Stacey Matrix and how it helps manage complexities. Retrieved from: https://agilityportal.io/blog/stacey-matrix
Cohen, M. D., March, J. G., & Olsen, J. P. (1972). A Garbage Can Model of Organizational Choice. Administrative Science Quarterly.
Kröger, J., & Marx, S. (2025). Methods and Tools. In Strategic Agility in Marketing: Concepts, Methods, and Organizational Impact (pp. 151-208). Wiesbaden: Springer Fachmedien Wiesbaden.
Maxwell, C. (2014). Maintaining Teams in a Complex State: a Reinterpretation of Stacey’s Complexity Matrix and the Implications for Leadership.
Stacey, R. D. (2007). Strategic management and organisational dynamics: The challenge of complexity to ways of thinking about organisations. Pearson education. Dit boek is breder werk over hoe denken over organisaties en strategie verandert onder invloed van complexiteit; relevant om de achtergrond van de Stacey-matrix te begrijpen.
Stacey, R. D. (2001). Complexity and the group matrix. Group Analysis, 34(2), 221-239.
Stacey, R. D. (2000). Reflexivity, self-organization and emergence in the group matrix. Group Analysis, 33(4), 501-514.
Stacey, R. D. (1996). Complexity and creativity in organizations. Berrett-Koehler Publishers.
Stacey, R. D. (1992). Managing the Unknowable: Strategic Boundaries Between Order and Chaos in Organizations. Jossey-Bass.

How to cite this article:
Weijers, L. (2025). Stacey Matrix. Retrieved [insert date] from Toolshero: https://www.toolshero.com/decision-making/stacey-matrix/

Original publication date: 09/02/2025 | Last update: 09/02/2025

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Article by:

Lars Weijers

Lars Weijers is an experienced copywriter with an extensive marketing communications background. His specialisms lie in creative and active writing, combined with good search engine findability. Lars also works as an event and account manager with a commercial focus.