Episode 12 — Complexity Thinking: Importance and Risks by Classification
Building on the prior episode, this session dives deeper into the consequences of misclassifying work within complexity models. Learners explore the risks of applying overly prescriptive approaches to complex or chaotic problems, including wasted effort, resistance to change, and failed outcomes. The episode emphasizes that accurate classification is not a one-time decision but an ongoing practice as environments evolve.
The discussion highlights the risks of oversimplification and how forcing agile into contexts that require stability can backfire. Conversely, treating complex work as if it were simple undermines innovation and learning. PMI exam scenarios often present subtle signs of these misclassifications, testing the candidate’s ability to identify both opportunities and pitfalls. By internalizing the stakes, learners understand why complexity awareness is core to agile leadership and delivery. Produced by BareMetalCyber.com.
