Our
Approach
We utilize systems thinking to better understand how things influence one another within a whole. This provides an environment to make better decisions, identify hidden opportunities, and to improve a system or project.
What is
Systems Thinking?
Systems Thinking /ˈsistəm ˈTHiNGkiNG/ is an inclusive and comprehensive approach to problem solving.
Systems thinking is a holistic approach to understanding complex systems by examining the interactions and relationships among their components. It views systems as interconnected wholes, where changes in one part can have far-reaching effects on other parts and on the system as a whole.
How is Systems Thinking Different?
Linear Thinking vs. Systems Thinking
Systems thinking and linear thinking are two contrasting approaches to understanding and solving problems:
Linear Thinking:
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Linear thinking follows a step-by-step, cause-and-effect approach.
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It focuses on addressing problems by breaking them down into smaller, sequential parts and solving each part independently.
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Linear thinking assumes that outcomes are directly proportional to inputs, and changes occur in a predictable, linear manner.
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It often relies on simplifications and assumptions, which may overlook complexities and interactions within the system.
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Linear thinking is suited for simple, straightforward problems with clear cause-and-effect relationships.
Systems Thinking:
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Systems thinking takes a holistic approach, considering the interconnections and relationships among various components of a system.
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It views systems as dynamic and complex, with emergent properties that cannot be fully understood by examining individual parts in isolation.
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Systems thinking emphasizes feedback loops, nonlinear relationships, and unintended consequences within systems.
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It acknowledges that changes in one part of the system can have ripple effects throughout the entire system.
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Systems thinking is better suited for addressing complex, interconnected problems where linear cause-and-effect relationships may not adequately capture the system's behavior.
While linear thinking focuses on addressing problems through sequential steps and direct cause-and-effect relationships, systems thinking considers the broader context, interconnections, and feedback loops within complex systems to better understand and address problems.
Linear Thinking
vs.
Systems Thinking
Principles of Systems Thinking
01.
Holism
Systems Thinking considers the entire system as a whole, rather than focusing solely on individual components or parts. This involves recognizing that the behavior of the system emerges from the interactions among its components.
02.
Feedback Loops
Systems Thinking acknowledges the presence of feedback loops, both positive (reinforcing) and negative (balancing), within systems. Feedback Loops influence system behavior by amplifying or dampening changes.
03.
Interconnectedness
Systems Thinking emphasizes the interconnected nature of systems, where changes in one part of the system can have ripple effects throughout the entire system.
04.
Emergence
Systems Thinking recognizes that complex system behavior often emerges from the interactions of its simpler components, leading to properties and behaviors that cannot be fully explained by examining individual parts in isolation.
05.
Dynamic Behavior
Systems are dynamic and change over time. Systems Thinking considers how systems evolve and adapt in response to internal and external influences.
06.
Multiple Perspectives
Systems Thinking encourages considering multiple viewpoints and stakeholders when analyzing systems, recognizing that different perspectives may reveal different aspects of system behavior.
Toolbox
for Systems Thinking
Linear
vs.
Non-Linear
Hierarchies
vs.
Networks
Parts
vs.
Wholes
Analysis
vs.
Synthesis
Disconnection
vs.
Interconnection
Structures
vs.
Processes