The Art of Systems Thinking: Lessons from Learning Systems Thinking V2 by Diana Montalion

The Art of Systems Thinking: Lessons from Learning Systems Thinking V2 by Diana Montalion
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TL;DR


Systems thinking is a powerful approach to solving complex problems by recognizing patterns, thinking holistically, and balancing technical and social factors. Key traits of a systems thinker include nonlinear thinking, continuous learning, and the ability to work respectfully with others. Important lessons from Learning Systems Thinking V2 include understanding counterintuitive solutions, fostering feedback loops, and avoiding the blame game by addressing system structures instead of individuals. Effective modeling and collective reasoning help teams navigate ambiguity and make better decisions.


In today's rapidly evolving technological landscape, systems thinking is an invaluable skill, especially for software engineers, architects, and leaders. It’s about seeing the big picture, understanding complexity, and making decisions that account for both technical and social dynamics. Diana Montalion’s Learning Systems Thinking V2 dives into these concepts and offers practical tools for improving how we approach problems. Here are some key takeaways that stood out:

1. Qualities of a Systems Thinker

At the core of systems thinking is the ability to recognize patterns and think nonlinearly. While most of us are trained in reductionistic, linear thinking—breaking down problems into smaller components—systems thinkers understand when to take a step back and apply a more holistic approach. They assess how solutions tie into larger contexts and long-term outcomes, moving away from quick fixes.

A key takeaway is the importance of contextual awareness: solving problems in a way that connects meaningfully to the system's overall purpose. This is where the difference between linear and nonlinear thinking becomes crucial. While both approaches have their place, a systems thinker excels at knowing when to toggle between them.

2. Systems Thinking Is Sociotechnical

In her analysis of the book Bad Blood by John Carreyrou, Montalion highlights a disconnect between engineering realities and leadership demands that can emerge in hierarchical organizations. In the case of Theranos, silos of communication prevented essential feedback from reaching decision-makers, contributing to the collapse of the company. This is a common failure in complex systems where hierarchical structures inadvertently cut off feedback loops.

Montalion underscores the necessity of sociotechnical balance—understanding that technology alone can't solve problems if the social system (how people communicate and collaborate) is broken. This is why engineering teams need to design solutions that incorporate both technical insight and human factors.

3. Counterintuitiveness and Leverage Points

One of the more frustrating aspects of systems thinking is how often the best solutions appear counterintuitive. As Donella Meadows notes, “When we do discover the system’s leverage points, hardly anybody will believe us.” Leverage points are where small changes can lead to significant shifts in the system. However, because they often defy our initial instincts, they are difficult to accept.

Consider a situation where fixing a problem requires less intervention, not more. The typical reaction is to add complexity, create more processes, or tighten controls. A systems thinker, however, is more likely to recognize when doing less or changing one subtle factor will lead to the desired outcome.

4. Support for Your Practice: Riding on the Front of the Train

One of the more poetic metaphors in the book compares systems thinkers to those sitting in the front car of a train. While they can see the trees ahead, those in the middle or back may only see a lake or a field. The lesson here is not to get frustrated when others can’t immediately understand your perspective. It’s part of your role to be ahead of the curve and communicate effectively about what lies ahead.

This metaphor is particularly apt for leaders who must drive systemic change within their organizations. If you're at the front of the train, your challenge is not only seeing the future but also helping others see it too—without expecting them to have the same vantage point.

5. Learning as a Core Value

A key characteristic of systems thinkers is that they are constant learners. They know there's always more to discover, new approaches to try, and value in both expertise and beginner’s mindsets. As Montalion puts it, systems thinkers are proactive learners who don't hesitate to explore new tools or strategies when they’re relevant.

This mindset also applies to problem-solving. Structuring inquiry is a crucial skill—when faced with a novel challenge, you figure out how to figure it out. Whether it’s building a prototype, researching extensively, or talking to domain experts, you develop strategies to explore new terrains and answer the right questions.

6. The Iceberg Model and The Blame Game

In complex systems, the iceberg model helps to dive below the surface of events to understand the underlying structures and mental models driving behavior. Often, when things go wrong, teams fall into the trap of blaming individuals. However, systems thinking teaches us that the real reasons for failure often lie within the system itself, not in the people trying to navigate it.

This brings us to the concept of The Blame Game—a scenario played out in the Beer Game, a well-known simulation used to teach systems dynamics. Players often blame each other for poor outcomes when, in reality, the system's structure sets them up for failure. Understanding how systemic structures shape behaviors helps to foster more constructive discussions about where interventions should be made.

7. Modeling as a Core Practice

Modeling plays a critical role in systems thinking. It’s about making abstract concepts visible and actionable, turning thoughts into structured representations. Whether it’s a flowchart, diagram, or conceptual map, modeling helps teams make better decisions by clarifying relationships between variables.

A group that models together also discerns better together—especially when it comes to resolving competing priorities. This collaborative process not only strengthens the team’s problem-solving ability but also encourages a shared understanding of the system.

8. Respectful Engagement and Collective Reasoning

A recurring theme in systems thinking is the need for respectful engagement. When team members share ideas, a systems thinker doesn't dismiss them, but rather acknowledges the work that went into crafting those thoughts. This “Yes, and...” approach is about respecting others' perspectives while building on them. It creates a collaborative environment where diverse views can shape better solutions.

Moreover, collective systemic reasoning helps teams tackle ambiguous problems. Instead of rushing to a solution, they hold multiple perspectives in mind, acknowledging that ambiguity demands patience and open-mindedness.

Final Thoughts

Becoming a systems thinker means adopting new ways of observing, learning, and engaging with both people and problems. From counterintuitive solutions to nonlinear perspectives, Montalion’s insights are a reminder that the systems we work in—whether in technology, leadership, or life—are complex, and solving their problems requires more than linear, reductionist thinking.

Above all, systems thinking is about learning how to learn and adapting that knowledge to ever-changing landscapes. Whether you're riding in the front of the train or building models with your team, the essence of systems thinking is to never stop exploring the forest ahead, even when others only see the lake.


By embracing these systems thinking practices, you’ll not only navigate complexity more effectively but also lead others with clarity and insight. Happy thinking!