6.1.3. Complexity Thinking
💡 First Principle: Complexity thinking recognizes that organizations are complex adaptive systems where outcomes emerge from many interacting parts — so you can't always predict or control results by managing parts in isolation, and you must observe, experiment, and adapt.
Complexity thinking is an approach that treats organizations and their work as complex systems whose behaviour emerges from many interacting elements and cannot be fully predicted or controlled by linear, mechanical management. It calls for observing how the system actually behaves, running small experiments, and adapting — rather than assuming a fixed plan will play out exactly as designed. It connects directly to optimizing workflows: in a complex environment, flow must be improved through observation and iteration, not one-time top-down design.
⚠️ Exam Trap: Complexity thinking is the opposite of "plan it perfectly once and execute." It accepts emergence and unpredictability and favours adaptation — recognize it as a mindset, not a procedure.
Reflection Question: Why does complexity thinking favour small experiments over a single detailed master plan?
