Seeing wholes, understanding interconnections, and analyzing how parts influence each other within complex systems to make better decisions.
Systems thinking is the discipline of understanding how components interact within a whole, recognizing feedback loops, emergent properties, and unintended consequences. It moves beyond linear cause-and-effect to grasp dynamic complexity, enabling better decisions in organizations and society.
If you've checked off most of this list, you move beyond seeing problems as isolated events. You can identify the key components within a system and describe simple relationships between them. You rely on guidance to structure your observations but are developing the habit of asking "what else is connected to this?"
What Comes Next
If you've checked off most of this list, you're ready for the Pattern Tracer stage, tracing feedback loops and understanding how relationships between components create patterns over time. Kolb(1984)'s Experiential Learning Cycle suggests converting concrete system experiences into reflective observation, asking "what was connected to what?" to accelerate your ability to recognize feedback patterns.
5-level proficiency model (Awareness to Expert) used to define level boundaries and expected autonomous behaviors for systems thinking
11 skills + 9 behavioral competencies used to design observable checklist behaviors (modeling, boundary setting, intervention design)
Foundational systems thinking text covering feedback loops, archetypes, and leverage points used to calibrate L1-L7 progression
The seminal paper systematizing 12 leverage points for system intervention by effectiveness. The hierarchy from parameter adjustment (low leverage) to paradigm shift (high leverage) directly grounds the checklist for level-specific intervention competency in systems thinking.
