In managing complexity, “simplify” is a crucial, yet often misunderstood, concept. It does not mean reducing a complex system to a few easy-to-understand rules or ignoring the inherent intricacies. Instead, it implies:
- Removing Accidental Complexity:
- This is the most direct form of simplification. It involves identifying and eliminating unnecessary layers, redundant processes, bureaucratic hurdles, inefficient tools, or poorly designed structures that add complexity without adding value.
- Clarifying and Communicating the “Essential Complexity”:
- Some complexity is inherent to the problem or system itself (“essential complexity”). Consequently, you can’t eliminate it without fundamentally changing the problem.
- “Simplify” in this context means making this essential complexity easier to understand and communicate. This involves:
- Breaking down large problems: Dividing a complex problem into smaller, more manageable chunks or sub-problems. This allows for focused attention on each part without being overwhelmed by the whole.
- Visualizing relationships: Using diagrams, flowcharts, mind maps, or other visual aids to illustrate connections, dependencies, and patterns within the system, so people can grasp complex information more intuitively.
- Creating clear narratives: Explaining the system or problem in a concise, understandable way, stripping away jargon and focusing on the core elements. This is about simplifying the explanation without oversimplifying the reality.
- Focusing on Core Purpose and Value:
- Simplification involves identifying the core purpose or desired outcome and streamlining efforts towards that. It asks: “What is truly essential to achieve our goals?”
- Simplification often means eliminating activities, features, or processes that do not directly contribute to the primary objective, even if they seem beneficial in isolation.
- Creating Simpler Rules for Behavior (But Not Simple Systems):
- Simplification can involve establishing a few clear, guiding principles or “simple rules” that allow agents within the system to adapt and self-organize.
- These rules are designed to encourage desired emergent behaviors without attempting to control every micro-interaction. For example, a simple rule might be “always prioritize customer safety.” rather than a detailed procedural manual
- Increasing Autonomy and Decentralization:
- Often, complexity arises from attempts to centrally control everything. “Simplify” can imply pushing decision-making authority closer to the source of the problem or opportunity.
- By empowering individuals and teams with more autonomy within clear boundaries, you reduce the need for complex coordination mechanisms and allow for more agile responses to local conditions.
- Iterative and Adaptive Approach:
- Simplification is not a one-time event. It’s an ongoing process of continuous refinement, learning, and adaptation.
- Simplify, observe the impact, learn, and then simplify further. This often involves experimentation and a willingness to revise approaches based on what emerges.
The takeaway message
Crucially, “simplify” is distinct from “oversimplify.” Oversimplification ignores critical dependencies, hides important details, or leads to erroneous assumptions, which can result in ineffective or even harmful solutions. True simplification respects the inherent complexity while making it more manageable, understandable, and actionable.