1- The Why: Systems Thinking
Systems Thinking
The word itself it misleading – “system” sounds bounded, complete, and whole.
It is either bounded in the realm of limited ideas (assumption) or by localized context.
It should be a verb! Systemic thinking (adjective?)
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INTRO to SYSTEMS THINKING
1. Humans THINK the world works as they experience it (e.g., before Copernicus when the sun “revolved around” us). Still, today, we approach organizations with a hierarchical, control, and silo mindset. But the world is highly dynamic and interdependent. It just USED to move slower than our ability to adjust and adapt. That’s certainly not the case any more. Our solution: just work more feverishly. Not sustainable.
2. Leaders are forced to operate in increasingly “VUCA” environments (volatile, uncertain, complex, and ambiguous). It’s increasingly stressful because they (being humans) WANT certainty. Ain’t gonna happen and only getting harder. Risks fly in the face of decision-making in grey environments. And yet, we’re forced to.
3. Speed requires that teams and employees further down the organization adapt and adjust faster than leadership can guide, approve or adjust to changes. Leadership must be empowered outward and downward, i.e., distributed leadership. But employees don’t have the skills (nor the inclination always) to take on that leadership. More stressors.
Long story short, we need organizations to have a “hive” mentality at every level. That’s not technically a new concept: but this little thing called “control and power” (and limited, short-term thinking) works against that. So we need to change thinking from a local (time and space) “me” mindset to a more global “we” - nice words but in Western rationale, it does not compute. See complex systems definition below (we need a new way of leading for these environments).
4. But there’s an additional layer(s): we have ONE planet but we have every country and every state and every faction and every household playing as though we have multiple endless worlds. Once we had an “infinite” environment where we could dump our trash “somewhere else.” No more. And STILL - even though we “know” this, we can’t seem to get people to think as ONE fucking planet or species. Don’t get me started.
Also: there are SO many disciplines and schools of thought that individuals are forced to piece them together in their own minds: there isn’t universal framework for us all to share and they lack the discipline to become polymaths. We have psychology, leadership models, organizational models, etc., that don’t connect. ALL of this has led me to think about a GENERALIZED framework to integrate it all: sort of a common Human OS. The good news is that it’s nothing new: just look to nature and how it is one big complex system: all we need to do is encapsulate that so anyone - at any level - can understand and become co-leaders at every level in this world.
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Systems Thinking – Why it’s Valuable
What is it?
The notion that a system’s constituent elements may behave differently when separated from the system’s surroundings or other elements is fundamental to systems theory.
Systems thinking is a holistic approach to understanding and managing complex systems.
Systems thinking is a way of understanding the interrelationships and patterns among the elements of a complex situation. It helps you to see the big picture, identify the root causes of problems, and explore the potential impacts of different actions. Systems thinking can also help you to anticipate and avoid unintended consequences, leverage positive feedback loops, and align your goals with the system's purpose.
· At its heart, systems thinking is centred on the larger system that we are all part of and operate in. It delves into how parts of a system interconnect and evolve over time within the broader context of larger systems. This shift from linear to interconnected thinking is imperative for grasping the intricate dynamics of modern organisations.
· Systems thinking also encourages us to see beyond immediate events, focusing instead on understanding underlying patterns and relationships. It prompts a deeper appreciation of feedback loops, delays and the non-linear nature of cause and effect.
A core focus is on relationships between parts of a system rather than the parts in isolation. Think about a problem employee – it’s likely that the problem is not isolated to them as a person but also to their relationships and the attitudes propagated within.
Why should I care?
Have you ever taken an action that had unexpected and unintended consequences? Systems thinking would help you think through those consequences in advance.
Have you tried to implement change in an organization and experienced heavy resistance and / or failure of the change initiative? Too often that’s because people only saw the surface change and didn’t understand the underlying systemic change that was necessary. A wise person once corrected me when I said “people don’t like change.” They reminded me that people LOVE change (aka new shows, new restaurant, new iPhone, etc.): they just don’t like TO BE CHANGED. You have to engage the system to shift it – otherwise it’ll naturally go back to its previous state if you don’t get the underlying mindset addressed.
Systems thinking aims to reveal these unintended ripple effects so they can be weighed when leveraging change.
How about addressing morale? A rah rah session won’t fix it. systems thinking helps managers gain perspective on organizational challenges and identify root causes of problems like low morale or stagnant sales. By mapping reinforcing loops, leaders can find intervention points to shift momentum.
Benefits of Systems Thinking
Systems thinking provides a different lens – one that allows us to grasp the bigger picture, see the interconnections, and better anticipate intended consequences.
A systems thinking framework looks at relationships, perspectives, boundaries, and the whole, rather than just events or isolated parts.
Improved Organizational Performance
Enhanced Decision-Making
· Systems thinking encourages a more informed and comprehensive approach to decision-making. By considering the broader implications of choices and understanding their potential repercussions, organizations can make better decisions that align with their long-term goals.
Holistic Problem-Solving
· When faced with complex problems, organizations often struggle to identify the root causes. Systems thinking enables a more holistic view of problems, allowing organizations to address underlying issues rather than merely symptoms.
Encouraging Creativity
· Empowered employees will explore new ideas and solutions as they understand the interconnected nature of the organization’s activities.
· All in all, systems thinking helps organizations recognize emerging trends and opportunities early on. This proactive approach allows them to pivot, adapt, and innovate in response to changing market conditions. Therefore, this is the key to enhancing adaptability.
Anticipating Change in the Face of Uncertainty
· In the same vein, systems thinking equips organizations with the tools to anticipate and adapt to change effectively. By understanding the dynamics of their systems, they can identify potential disruptions and develop strategies to navigate the terrain.
· Organizations embracing systems thinking in a world of uncertainty tend to be more resilient. They can quickly adjust their strategies and operations to respond to unexpected challenges, ensuring long-term survival.
Implementing Systems Thinking in Organizations
· Having explored the benefits of systems thinking, let’s focus on how organizations can effectively implement this in their organizations.
· For systems thinking to thrive within an organization, it must start at the top. Le ders must champion the approach and set an example for others.
· All things considered, organizations should invest in training and educating employees in systems thinking principles and tools. This will empower individuals at all levels to contribute to a more holistic understanding of the organization’s operations.
1. Better Decision-Making
Impact:Decisions are made with awareness of long-term consequences, cross-functional effects, and root causes. Leaders move from reactive to proactive.
Example:Instead of cutting costs by slashing headcount (short-term fix), leaders consider how that affects morale, productivity, brand reputation, and turnover costs (systemic view).
2. Greater Organizational Alignment
Impact:Departments and teams align around shared goals and understand how their roles interconnect within the larger system. Silos begin to dissolve.
Example:Marketing, sales, product, and customer service align efforts not just for immediate KPIs but for the full customer lifecycle and brand trust.
3. Increased Adaptability and Resilience
Impact:The organization becomes better at sensing change, responding flexibly, and learning from feedback—because patterns and feedback loops are recognized and valued.
Example:Rather than being blindsided by market shifts, teams are constantly scanning the environment, experimenting, and iterating based on systemic feedback.
4. Improved Collaboration and Trust
Impact:Blame is replaced with curiosity. People ask “What in the system created this?” instead of “Who messed up?” This fosters psychological safety and collective accountability.
Example:Post-mortems focus on process and structure improvements rather than scapegoating individuals.
5. Innovation with Fewer Unintended Consequences
Impact:Innovations are designed with foresight about second- and third-order effects, improving success rates and minimizing risks.
Example:A new tech rollout is planned with attention to user behavior, cultural adoption, and infrastructure—not just features and cost.
6. Mission-Driven Clarity
Impact:A systems perspective re-centers the organization on its broader purpose and the long-term value it creates in society.
Example:Corporate social responsibility isn’t a side initiative—it’s baked into strategy because the organization sees itself as part of a larger ecosystem.
Summary Statement:
A systems thinking culture shifts the organization from isolated optimization to integrated intelligence. It cultivates leaders and teams who think beyond symptoms, silos, and short-term metrics—to build healthier, more adaptive, and purpose-driven systems.
Developing a Systems Mindset
While systems analysis relies on conceptual tools, cultivating a systems thinking mindset represents the ultimate competency.
A system thinking approach sees relationships rather than linear cause-effect chains and recognizes patterns over time rather than single events.
Developing systems thinking integrates critical and creative thinking skills with the habits of connecting the dots, seeking multiple perspectives, and continually synthesizing information.
Systems thinkers tolerate ambiguity for a time resisting narrow or reactive conclusions until deeper drivers come into focus.
This capacity sharpens by practicing reflection through journaling, dialoguing in groups, and mapping out one’s mental models.
Over time, systems thinking habits help anticipate whole system behaviors, gauge change holistically and perceive nuances and interdependencies missed by others.
There are many advantages both individually and organizationally to applying a systems thinking perspective:
The Big Picture
Synthesizing across siloed issues and specialized experts, systems thinking provides a framework for rising above events and details to integrate key patterns, drivers, and relationships.
This leads to wiser interventions.
Anticipating Unintended Consequences
By tracing multiple pathways of direct and indirect effects, potential negative outcomes get identified earlier preventing reactive risk mitigation.
Cross-disciplinary analysis enriches foresight.
Promoting Collaborative Change
Uncovering mental models and fostering a shared understanding of complex dynamics leads groups past polarization toward integrated solutions.
Embracing a learning posture opens the possibility of transformational thinking.
Developing systems thinking know-how pays dividends through enhanced context, coordination, and collective intelligence when addressing multidimensional challenges.
Common Barriers
Linear Cause-Effect Thinking
Habits of simplistic analysis seek single culprits for issues and direct solutions rather than accommodating dynamic complexity. This tends to generate policy resistance and recurring issues.
Parts vs. Whole
Holistic thinking sees interdependencies while reductionist perspectives oversimplify by isolating events and elements losing context. Stove-piped metrics and planning likewise need integration.
Focus on Quick Fixes
Incentives driving short-term results undermine investing time upfront to map deeper structures needing long-term transformation. Quick solutions usually fail or cause more issues.
Lack of Collaboration
Participatory modeling and shared learning are central to systems thinking, yet many groups lack protocols for constructive dialogue, surfacing assumptions, and synthesizing perspectives.
While adopting systems thinking may necessitate structural and cultural changes, the demonstratable benefits motivate persistence through typical barriers.
The core challenge for leaders that systems thinking helps ameliorate is navigating complexity and interconnectedness in a way that enables sustainable, adaptive decision-making.
More specifically, systems thinking helps address the following leadership challenges:
Linear thinking in a non-linear world
Many leaders are trained to solve problems in a cause-effect, linear manner. But in dynamic systems (e.g., organizations, markets, social systems), actions often have delayed, indirect, or unintended consequences. Systems thinking helps leaders anticipate ripple effects and recognize feedback loops.
Siloed perspectives and fragmented decision-making
Organizations are often divided into departments with isolated goals. Systems thinking encourages cross-functional understanding and collaborative strategy by revealing how parts of the system influence each other.
Short-term fixes that worsen long-term outcomes
Leaders under pressure often resort to quick wins or reactive decisions. Systems thinking equips them to identify leverage points and structural causes—leading to more sustainable, long-term solutions.
Blame and oversimplification
When performance suffers, the impulse may be to blame individuals or specific events. Systems thinking reframes the question from “Who is at fault?” to “What in the system produced this behavior?”
Inability to sense or respond to emerging change
In fast-changing environments, leaders need to detect weak signals, understand patterns, and foster adaptability. Systems thinking enhances pattern recognition and supports more resilient strategy.
In short: Systems thinking helps leaders become architects of transformation rather than firefighters of symptoms.
Cultivating a Systems Culture
Installing new frameworks is easiest when the organizational conditions cultivate openness, creativity, and collective discovery.
Typical command-and-control management limits success. Leaders seeking to incubate systems thinking should nurture a learning ecosystem marked by:
Fostering Curiosity
Inquiry starts by suspending assumptions and asking why complex challenges persist. Curiosity about root causes and seeking divergent data sources light the spark for analysis.
Encouraging Reflection
Creative and critical thinking skills allow seeing reality from alternative perspectives. Journaling, discussing in pairs, and mapping mental models builds capacity.
Promoting Critical Thinking
Examining premises and evaluating contexts counters narrow views. Welcoming scrutiny of reasoning patterns makes theories more robust. Leadership modeling this permission gives cover.
Building Trust & Psychological Safety
Vulnerability underpins breakthroughs but requires risk-taking. Teams won’t expose ignorance or disagree unless trust exists. Safe space for thinking aloud takes continual nurturing.
With the right foundation emphasizing trust, transparency, learning, and questioning – systems thinking tools gain adoption more readily leading to collective growth.
Systems Thinking in Organizations
Systems thinking has extensive applications across government agencies, nonprofit organizations, and companies for informing strategy and catalyzing change.
Reasons why groups formally integrate systems methods include:
Addressing Wicked Problems
Complex challenges like climate change, public health crises, or regional instability that involve multi-causal forces with no simple policy solution require analysis tools beyond linear causality.
Systems thinking helps groups better unpack the subsystems, mental models, and leverage points related to such persistent issues.
Facilitating Organizational Learning
Embedding systems thinking methodologies across departments enhances learning capabilities helping organizations see beyond events to patterns shaping performance over time.
This cultivates data-driven analysis, informed hypotheses of root issues, and strategic responses.
Tackling Root Causes
The interrelated frameworks and mapping tools within systems thinking reveal underlying structures driving observable events.
This allows targeting transformational change toward root causes rather than just reacting to symptoms.
Building Shared Understanding
Participatory modeling sessions convene diverse experts and leaders to jointly map out complex domains.
This builds alignment around key variables and interdependencies within an ecosystem’s dynamics.
Different mental models surfaced through structured dialogue.
Enabling Adaptive Change
In a world of growing uncertainty, systems thinking capabilities increase organizational resilience, agility, and responsiveness amid turbulence.
Running simulations of plausible scenarios allows for discovering novel solutions and future-proofing decisions.
The common thread is using systems thinking to perceive deeper drivers shaping current realities and possible alternatives to inform wise action.
Adopting a systems thinking perspective carries many advantages:
Systems thinking allows one to see situations more completely rather than getting lost in details. By focusing on interconnections and processes that link system elements, systems thinking provides a “big picture” orientation. This expanded framework reveals areas of critical linkage within the messiness of complex contexts.
A systems view also aids in identifying types of high-leverage interventions amidst complexity. For instance, by mapping system archetypes like limits to growth or tragedy of the commons, one can pinpoint potent areas to reroute damaging feedback loops.
A systems lens highlights openings for targeted changes to cascade through interconnected subsystems.
Systems thinking also anticipates longer-term consequences of potential actions. By tracing causal threads through a system, secondary and tertiary effects are revealed that may otherwise go unseen.
This equips better foresight for the unintended impacts that might ripple across time and space from well-intentioned interventions.
Additionally, systems thinking brings order and coherence to complexity. By surfacing the organic patterning at play, systems tools decode complex dynamics in understandable yet nuanced ways.
Conceptual frameworks like stocks and flows clarify the structural forces driving issues like urban brain drain or suburban sprawl without oversimplifying.
In all of these ways, systems thinking empowers solutions better aligned to real-world complexity while still providing transformational direction. It permeates analysis with key principles of inter-relationship, temporality, perspectival flexibility, and buried connectivity – allowing insight into predicaments otherwise overwhelming.
Problem Solving
More broadly, systems thinking skills help strengthen collaborative problem solving in teams. Facilitating activities that surface mental models, unpack complex dynamics, and scan for unintended consequences builds shared systemic understanding to transform discussion and explore structural solutions.
Overall, systems thinking fosters paradigm shifts towards interconnected, ecological, and holistic thinking in any problem solving context. This empowers more responsible decision-making.
My Approach:
The idea is to understand the concepts of systems thinking, not to be rigorous about mapping specific processes throughout the organization. A consultant specialist can do that. When everyone has a systems mindset, a lot of those issues disappear -> go to the root cause!!!
Everything has become so interconnected, comprising of multi-pronged challenges. We still try to tackle modern problems with linear thinking approaches that isolate problems and reduce complexity.
systems thinking offers an alternative perspective to understand how things influence one another within embedded contexts.
The systemic perspective holds special relevance for problem solvers and changemakers currently grappling with twisted challenges and complex systems fundamentally shaped by interdependence.
By revealing hidden connections and patented patterns, systems thinking empowers interventions well-matched to our intricately networked world.
Systems thinking is an approach to understanding how things influence one another within a whole entity. Systems thinking studies connections between key parts to see the collective behaviors that result.
Systems thinking provides a framework for seeing relationships and patterns to explain how systems function. The key concepts include recognizing the interconnected and interdependent nature of systems and shifting from linear to circular causality.
In complex systems, leverage points serve as places to intervene for substantial impact. The goal is to identify where minimal effort shifts the system, through changes to parameters, feedback loops, or paradigm-shifting transformations at the level of goals or mindsets. This contrasts with incidental low-leverage tweaks.
Systems thinking aims to reveal these unintended ripple effects so they can be weighed when leveraging change.
So, while unintended consequences often limit pure design, systems thinking provides insights to navigate reform more wisely. By elevating awareness of inter-dependencies and causal loops, one can recognize patterns, structures, boundaries, and relationships fundamental to systems insights.
Adaptive Leadership
Adaptive systems thinkers also recognize that models have limits and that systems change over time in nonlinear ways. Rather than attempting precise prediction and control, adaptive approaches use feedback to dynamically adjust interventions according to emergent system patterns.
This flexibility to meet systems in flux is well-suited for catalyzing change in complex contexts.
Key Concepts:
These interrelated concepts underscore why systems behave in nonlinear and unpredictable ways. By studying patterns and interrelationships, systems thinking aims to anticipate potential impacts of changes over varying timelines.
Feedback Loops
Several principles form the foundation of systems thinking. First, systems thinking recognizes the importance of feedback loops in driving system behavior. Feedback loops capture how the output of one part of a system impacts the input to another part, creating causal chains.
There are two types – reinforcing feedback that amplifies change and balancing feedback that counteracts change. The effects of feedback loops typically happen over varied time delays.
Dynamics & Emergent Properties relate to the behaviors that arise over time through the interactions of various agents and influences within a complex system.
Small changes can sometimes foster unanticipated emergent results. It is difficult to understand emergent properties by only examining system parts rather than observing the system holistically.
Mental Models
Mental models strongly shape how people perceive systems and strategic choices within them. Two people can have divergent understandings of the same system. Reflecting critically on how mental models influence thinking is crucial for expanding limited mindsets that bound perspectives on addressing systemic issues.
Tools and Approaches
I was a management consultant for years and system thinking tools can be very analytical when trying to identify root causes for challenges. The focus is on process. I don’t do that anymore!
I’m focused on the HUMAN side of systems thinking.
Things like “causality mapping” might make you want to throw up. It does me. But you can understand the utility when
Causality mapping visually depicts variables in a system, their connections, and the direction of causal influence. This illumination of causal links reveals chains of systemic connectivity not otherwise apparent. It supports the analysis of cascading effects and feedback dynamics.
Key Principles of Systems Thinking for Executive Coaches:
Interconnectedness:
Recognizing that different elements within a system are interdependent and influence each other.
Feedback Loops:
Understanding how actions and events can create both reinforcing and balancing feedback loops that shape the system's behavior.
Emergence:
Recognizing that the whole system is more than the sum of its parts and that new properties or behaviors can emerge from the interactions between those parts.
Causality:
Understanding the complex interplay of causes and effects within the system and how actions can have unintended consequences.
Mental Models:
Recognizing that individuals' and organizations' mental models can influence their understanding and actions within the system.
Identifying Interconnections
· Systems thinking involves identifying the intricate web of relationships and interdependencies among various elements in business and organizations.
· In addition, this means looking at departments, teams, processes, and external factors like customers, suppliers, and competitors.
· Moreover, by recognizing these connections, organizations can better understand how changes in one area can ripple through the entire system.
Iceberg Model
Layers of the Iceberg Model
1. Events (Tip of the Iceberg – Above the Surface)
What you see:These are observable behaviors, outcomes, or crises.Examples:
A key employee quits
Sales drop this quarter
A client complains loudly
Default Reaction:We often respond quickly to events—putting out fires—without understanding what caused them.
2. Patterns/Trends (Just Below the Surface)
What you notice over time:Recurring events or trends that show a trajectory or behavior pattern.Examples:
High turnover in a specific department
Sales consistently dip in Q3
Chronic delays in project delivery
Insight:Recognizing patterns helps shift focus from isolated incidents to systemic behaviors.
3. Systemic Structures (Deeper Still)
What holds the patterns in place:Policies, processes, relationships, resource flows, incentives, and organizational silos.Examples:
Outdated performance review systems
Misaligned team incentives
Lack of interdepartmental collaboration
Impact:These structures shape how people behave and how the organization functions.
4. Mental Models (Bottom of the Iceberg)
What people believe and assume:Deeply held beliefs, values, assumptions, and worldviews that shape the system’s design.Examples:
“People only work hard when micromanaged.”
“Sales is more important than customer service.”
“Mistakes are punished, so don’t take risks.”
Transformational Insight:Changing mental models often leads to the most powerful and lasting system change.
Why It’s Useful for Leaders
The Iceberg Model trains leaders to:
Pause before reacting to surface events
Investigate the structures and mindsets sustaining the problem
Design more effective, long-term solutions by addressing root causes
CASE STUDY
Case Study: High Turnover in a Tech Start-Up
Event (Tip of the Iceberg):
The company’s lead UX designer quits unexpectedly—just two months after a key front-end engineer left. Leadership is alarmed.
Pattern:
Over the past year, 6 out of 10 product team members have left within 12–18 months. Exit interviews mention “burnout,” “unclear priorities,” and “too many pivots.”
Systemic Structures:
Rapid change cycles without aligned vision or user research
Weekly sprints with no buffer or recovery time
Poor feedback loops between leadership and product teams
Hero culture: praise is lavished on employees who overwork and “push through” late nights
Mental Models:
“Speed matters more than clarity.”
“If you can’t handle the pressure, you don’t belong here.”
“Our team is special because we outwork the competition.”
Leadership Insight from the Iceberg Analysis:
The turnover isn’t just a hiring or HR issue—it’s a systemic consequence of a deeper culture driven by unsustainable expectations and flawed assumptions about performance.
Actionable Shifts:
Redesign sprint cadence to include recovery time and planning
Introduce “learning sprints” to reward insight and reflection, not just output
Begin 1:1 dialogues with team members to challenge mental models around worth and exhaustion
Applying Iceberg:
Iceberg Model Facilitation Questions
1. Events (What happened?)
What’s the specific issue we’re noticing right now?
What triggered this situation?
Who is involved, and what are they doing?
How urgent or acute does this feel?
Purpose: Clarifies surface-level symptoms and shared understanding of what’s visible.
2. Patterns/Trends (What’s been happening over time?)
Is this a one-time event or part of a recurring pattern?
When have we seen something like this before?
What trends or behaviors are repeating across time or teams?
What does the data tell us about frequency or direction?
If this continues, where are we headed?
Purpose: Moves beyond reaction to recognize sustained behavior or drift.
3. Systemic Structures (What’s driving the pattern?)
What systems, processes, or policies might be reinforcing this?
How are people’s roles, incentives, or tools influencing behavior?
What feedback loops might be at play?
Where is the system delaying or amplifying effects?
Are there unintended consequences we didn’t foresee?
What happens if nothing changes?
Purpose: Surfaces structural conditions and leverage points that sustain patterns.
4. Mental Models (What beliefs or assumptions are shaping the structure?)
What assumptions are we making about what works—or what’s possible?
What do we believe about success, failure, or people’s capabilities?
Are there “invisible rules” we’re following without questioning?
How might our values or fears be shaping our responses?
What would need to shift in our thinking for this system to change?
Purpose: Reveals the mindset layer where the deepest change is possible.
Bonus Integrative Questions
Where are we addressing symptoms instead of root causes?
What layer of the iceberg are we currently operating from?
If we could change just one part of the system, where would we start?
What’s one assumption we could test this week?
How might we design for long-term resilience instead of short-term relief?
Peter Senge
Peter Senge outlined an approach oriented toward organizational learning called the Five Disciplines model centered around systems thinking.
Each discipline builds skills needed for effectively analyzing complexity and catalyzing change:
Systems Thinking is the cornerstone discipline focused on recognizing interdependencies and changing behavior arising from system structures.
It allows seeing interconnected systems from multiple levels and perspectives, beyond simple cause-effect relations.
Personal Mastery emphasizes continually clarifying and deepening personal vision, purpose, and understanding the current reality more clearly.
It’s about fostering a lifelong commitment to learning and acquiring expertise.
Mental Models involve reflecting on internal assumptions and generalizations that influence how we comprehend the world.
By unearthing mental models, we can identify areas that limit our understanding to better integrate divergent perspectives.
Shared Vision cultivates building a sense of group commitment through developing images of a desired future state that fosters energy and enrollment rather than compliance.
A shared vision aligned with guiding ideas and shared purpose can provide focus and priority for systems-level change.
Team Learning happens through teams come together to think insightfully about complex issues. Aligned with systems thinking techniques, team learning builds skills in openly sharing views to allow insights not attainable individually.
It leverages collective wisdom for collaborative problem-solving and is a vital capacity for enabling change within systems.
Together these mutually reinforcing disciplines encourage thinking more systemically to perceive increasingly complex forces of change while being mindfully embedded in collective learning journeys.
Where to Begin
Defining Your System
Clarify the purpose, scope, and boundaries around the complex issue to be addressed by leveraging stakeholder input. Frame the priority question and build an initial variable list.
Identifying Key Relationships
Discuss potential connections between variables and subsystems. Map assumptions of causal links and feedback loops with small groups via whiteboards or sticky notes.
Recognizing Perspectives
Gather diverse experts and those impacted to enrich understanding. Capture different interpretations, concerns, and mental models related to the situation through dialogue. Allow assumptions to surface.
These basic steps invite broader input for enhanced clarity surrounding complex circumstances to determine appropriate next steps amid uncertainty.
The practices build habits for thinking more systemically about problems while structuring group learning essential for progress.
Next Steps
Apply Systems Tools
Use conceptual mapping to articulate interconnections. Introduce simulation models to quantify potential impacts. Learn analytics for evaluating complex networks. Build visual literacy.
Foster Collaborative Analysis
Convene workshops for participatory modeling, shared debriefs of insights, and developing dynamic hypotheses of root issues. Deepen external partnerships.
Take Small Actions
Enhance feedback channels. Adjust key parameters incrementally. Embed pilot studies to generate real-world data. Value progress through experiments.
Keep Learning & Adapting
Reassess system boundaries over time. Grow knowledge through research. Visit other organizations utilizing systems methods. Give updated data inputs to models.
Rather than tackling monumental change, systems thinking promotes an iterative approach of incremental enhancements informed by new insights from deliberate learning cycles.
As capabilities advance, more intricate tools get incorporated.
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Reductionist Thinking vs. Systems Thinking
In systems thinking, systems behave as integrated wholes in which elements dynamically impact each other over time.
This contrasts with traditional forms of reductionist thinking that isolate parts to understand systems.
Reductionism breaks systems down into discrete elements, rather than examining the fuzzy system boundaries, complex interactions, and unintended consequences that arise within intricate open systems in the real world.
Systems thinking offers a new perspective focused on the linkages, relationships, emergence, and feedback processes underlying systems functioning. By mapping reinforcing and balancing loops, systems thinking can identify behavior-over-time patterns for a system. This helps explain the whole picture better than reductionism.
Psychology:
The basic principle of holism is that people are more than simply the sum of their parts. In order to understand how people think, the holistic perspective stresses that you need to do more than simply focus on how each individual component functions in isolation. Instead, psychologists who take this approach believe that it is more important to look at how all the parts work together.
· One reason why it is so important to consider the entire being is that the whole may possess emergent properties. These are qualities or characteristics that are present in the whole but cannot be observed by looking at the individual pieces.1
· Michaelson V, Pickett W, King N, Davison C. Testing the theory of holism: A study of family systems and adolescent health. Prev Med Rep. 2016;4:313–319. doi:10.1016/j.pmedr.2016.07.002
· Consider the human brain, for example. The brain contains millions of neurons, but just looking at each individual neuron will not tell you what the brain can do. It is only by looking at the brain holistically, by looking at how all the pieces work together, that you can see how messages are transmitted, how memories are stored, and how decisions are made.
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Mental Model Discovery Toolkit
1. Ladder of Inference
What it does:Reveals how individuals move from facts to conclusions, exposing hidden assumptions and meaning-making.
Key Components:
Observable data (What happened?)
Selected data (What did you notice?)
Interpretations (What did you assume it meant?)
Conclusions (What belief did you form?)
Actions (What did you decide to do?)
Facilitator Prompts:
What facts are you basing that on?
What else might be true?
What assumptions are baked into that conclusion?
2. Mental Model Mapping
What it does:Visually articulates an individual’s or team’s implicit beliefs about how a system works.
Key Components:
If-then beliefs (e.g., “If we give employees too much freedom, they’ll slack off”)
Causal beliefs (“Hard work leads to success”)
Conditionals and constraints (“We can’t afford to try that”)
Facilitator Technique:Use sticky notes or diagrams to surface “belief loops”—how someone thinks the system functions and responds.
3. 4-Column Inquiry (Adapted from Action Inquiry / Kegan & Lahey)
What it does:Identifies competing commitments and underlying assumptions that create internal conflict or resistance to change.
Structure:
Commitment/Goal: What do you say you want?
Behavior: What are you doing instead?
Hidden Commitment: What fear or competing value is driving that behavior?
Big Assumption: What belief must be true for that commitment to make sense?
Example:
Goal: I want to delegate more.
Behavior: I micromanage.
Hidden Commitment: I want everything to be perfect.
Big Assumption: If I let go, everything will fall apart and I’ll be blamed.
4. Immunity to Change Mapping (Kegan & Lahey)
What it does:Helps uncover the self-protective logic that keeps someone from changing, even when they want to.
Useful For:One-on-one coaching or group sessions where change resistance is present.
Facilitator Prompts:
What do you believe will happen if you act differently?
What are you afraid to lose, disrupt, or be exposed as?
How does this belief protect you? How does it limit you?
5. Values Inquiry
What it does:Surfaces guiding principles that shape decision-making and worldview.
Key Questions:
What principles do you live by, even when it's hard?
What do you feel proud of—consistently?
What makes you feel violated or disrespected?
Component Insight:Values often shape mental models about what’s “right,” “fair,” or “effective.”
6. System Archetypes + Personal Beliefs
What it does:Helps individuals recognize recurring systemic traps (e.g., “Fixes that Fail”) and the mental models that fuel them.
Method:
Identify the archetype (e.g., “Success to the Successful”)
Ask what beliefs support that system (e.g., “Only winners get resources”)
Invite reflection: “Is this belief universally true?”
7. Reflective Journaling & Dialogue
Purpose:Slows down cognition to help people notice their own thinking.
Prompts:
What stories do you tell yourself about this situation?
Where might your current approach be reinforcing the outcome you’re trying to avoid?
What would someone with a different worldview do?
Mental Model Discovery: Facilitation Guide & Worksheet
This worksheet is designed to help individuals and teams surface the hidden mental models—beliefs, assumptions, values, and internal logic—that shape how they see the world and make decisions. Each section provides a method, reflection prompts, and space for responses.
1. Ladder of Inference
Track how someone moves from observation to action, uncovering hidden assumptions.
· - What did you observe?
· - What details did you focus on or filter out?
· - What meaning did you assign to those details?
· - What conclusion did you draw?
· - What did you decide or do based on that conclusion?
2. Mental Model Mapping
Make your internal view of the system explicit through cause-and-effect thinking.
· - What do you think causes this situation?
· - What do you expect to happen if you act differently?
· - What are the key factors or forces involved?
· - Draw a basic flow or sketch of how you see this system working.
3. 4-Column Inquiry
Identify competing commitments and underlying assumptions.
· - What is your stated goal or commitment?
· - What are you doing (or not doing) that works against it?
· - What fear or competing commitment might explain that behavior?
· - What must you believe to justify that hidden commitment?
4. Values Clarification
Reveal how values shape your perceptions and decisions.
· - What values are guiding your choices right now?
· - What would feel like a violation of your principles?
· - What value is non-negotiable for you in this context?
· - How does this value shape your actions or resistance to change?
5. Immunity to Change Map
Surface the self-protective logic behind resistance to change.
· - What change do you genuinely want to make?
· - What are you currently doing instead?
· - What worry, fear, or cost are you protecting yourself from?
· - What belief or assumption lies beneath that protective logic?
6. System Archetypes Reflection
Identify which systemic patterns might be present and the beliefs fueling them.
· - What familiar system pattern is this situation following? (e.g., Fixes that Fail, Shifting the Burden)
· - What belief or assumption is keeping that pattern in motion?
· - Is that belief still serving you or the organization?
· - What might be a new belief that opens up other options?
7. Reflective Journaling Prompts
Create space to examine and shift mental models through self-inquiry.
· - What story are you telling yourself about this situation?
· - How is that story shaping your behavior?
· - Where might you be reinforcing the problem with your own thinking?
· - What is one new perspective you could explore?
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Complex systems thinking involves understanding how different components interact within a system and how emergent behaviors arise from these interactions. Here are the key elements:
1. Interconnectedness
Complex systems consist of multiple interdependent elements.
Changes in one part of the system can ripple through and affect others.
2. Emergence
The whole system exhibits behaviors and properties that are not predictable from the sum of its parts.
Example: A flock of birds moving in formation without a central leader.
3. Feedback Loops
Positive Feedback: Reinforces changes, leading to growth or collapse (e.g., viral social media trends).
Negative Feedback: Stabilizes the system by counteracting deviations (e.g., body temperature regulation).
4. Adaptation & Self-Organization
Systems evolve over time, often adjusting to new conditions without external control.
Example: Ecosystems adapt to climate changes.
5. Non-Linearity
Small changes can lead to disproportionately large effects (e.g., butterfly effect).
Cause and effect are not always directly proportional.
6. Boundaries & Hierarchies
Systems exist within other systems (e.g., cells → organs → organisms → ecosystems).
Understanding system boundaries helps define interactions and influences.
7. Delays & Time Lags
Effects of actions may not be immediate, leading to delayed feedback.
Example: Policy changes in an economy may take years to show results.
8. Leverage Points
Strategic intervention points where small changes can have a big impact.
Example: Changing an incentive structure in a company to shift culture.
9. Multiple Perspectives
Viewing a system from different angles (e.g., economic, social, environmental) provides deeper insight.
Complex problems often require interdisciplinary approaches.
10. Uncertainty & Unpredictability
Complexity makes absolute predictions difficult.
Scenario planning helps navigate uncertainty rather than aiming for precise control.
Systems are organized wholes comprised of interrelated and interdependent components.
EcoSystem - Environment and Us
We influence environment and environment influences us
We are a function of our environment – Californians tend to wear Birkenstocks if that’s something they are influenced seeing on others. So none of us is a silo, really. But we THINK we are. FAIL!
Leadership Ecosystem: amplifying your influence and Dramatically amplify influence
Ecosystem: Organizations operate within larger ecosystems, including industries, markets, and societal systems, much like galaxies exist within clusters.
No leader is an island, and speakers are highlighting the importance of building ecosystems of collaboration. They emphasize partnerships, cross-functional teamwork, and the power of collective leadership in achieving ambitious goals. "Rethink WHO you are as a distributed self. Design and leverage your network with intention.
Resonant cohenrence vs dissonance
How do we define "environment?" Tempting to be that "outside" the physical entity. But what about the non-physical? What's ITS "environment?" Context!!!
how all parts of an organization are interconnected and how micro-level or functional unit decisions can influence macro-level outcomes (in other areas)
• How all parts of an organization are interconnected
• How micro-level or functional unit decisions can influence macro-level outcomes (in other areas)
• Understand the components, structures, properties and behaviors to grasp the system's foundation.
• Understand the larger ecosystems the organization operates including industries, markets, and societal systems.
• Sensitivity to Initial Conditions: Small initial decisions or changes can lead to significant organizational impacts.
• Understand the temporal and historical dynamics of the system (state in context).
Self-Organization - In essence, self-organization is not about creating order from nothing—it’s about letting order emerge naturally from inherent properties and interactions within a system.
Approximation - explain: for cognition. Even “scales” are approximations!
Holism and Reductionism
Analyze the system as a whole, not just its parts. Wave / particle duality -> break into both but realize they are observation perspectives.
Openness → Communication, collaboration and Networking
Nonlinearity: Relationship between causes and effects are nonlinear, meaning small changes can have disproportionately large or unexpected impacts. Outcomes are not always proportional to inputs.
Sensitivity to Initial Conditions: Small initial decisions or changes can lead to significant organizational impacts.
Organizations thrive when they operate at the edge of stability and change, where creativity and innovation flourish.
Complex systems can undergo state transitions, where a system shifts from one stable or semi-stable state to another due to changes in internal or external conditions. Knowing the state of a system helps us predict its future behavior, design interventions, or respond to disruptions. "state” provides a framework for understanding and tracking the configuration of a complex dynamical system, enabling us to observe, analyze, and influence its behavior over time.
Cognitive and Contextual Intelligence
Paradoxical thinking; Strategic focus and prioritization
Context-Sensitive: Leaders adapt their approach based on the organization’s context and challenges.
Contextual Awareness
Leadership decisions take into account the broader environment, understanding how internal dynamics and external factors are intertwined
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Openness and Exchange
Systems exchange energy, matter, or information with their environment. Systems thrive on exchange and evolve through interaction with their environment. Complex systems are open systems, meaning they exchange energy, matter, or information with their environment. This openness allows them to grow, adapt, and maintain a state far from equilibrium.
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Interdependence
Vs dependency
Interdefined, interrelated
Also interdimensional!!!
Distinction: interdependent and interconnected???
If things are curved, can we say there are NO dependencies and that everything is, in some way, interdependent? Yes, systemically, but locally can be approximated.
For instance, the Sun’s energy is relatively INFINITE compared to our needs.
Bu tin the animal world, resources are not infinite
Are there levels of interdependency – not just dual? Or is that the fundamental?
Some things could require three elements to create mutuality
Is mutuality dualistic necessarily?
Co-Evolution - Organizations and leaders evolve alongside their environment and stakeholders, influencing and being influenced by them.
Components of the system are highly interconnected, meaning that the behavior of one part influences and is influenced by other parts.
co-creating co-anything
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Interconnected
Components are highly interconnected, meaning that a change in one part of the system can ripple across the entire system.
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Entropy
Entropy is just a bmeasure of sorts, no? The tendency toward entropy is a law or a phenomenon. Nah – it’s a state
What’s a more sophisticated way of relating to this than simply “disorder.” Order according to what?
Is it greater states of dimensionality? Yes!