SystemsThinking

What problem does it solve?

SystemsThinking helps you stop recurring problems from resurfacing by revealing the structural causes (feedback loops, incentives, delays, and mental models) that generate the behavior instead of just treating surface-level events.

Core Features & Use Cases

• Iceberg analysis: Walk from events → patterns → structures → mental models to identify what’s actually generating “the same thing keeps happening.”
• Causal loop diagramming: Build feedback loop models (reinforcing and balancing) to preview second- and third-order effects of an intervention.
• Archetype matching: Recognize ~10 canonical systems archetypes (e.g., Fixes That Fail, Shifting the Burden, Limits to Growth) and apply the canonical intervention.
• Leverage point selection: Use Meadows’ 12 leverage points to choose where small changes produce large, durable impact, factoring in feasibility and resistance.
• Concept mapping: Map entities and labeled relationships when you need semantic/domain structure rather than dynamic feedback.

Quick Start

Ask: “Use the SystemsThinking skill to explain why this recurring problem keeps happening and recommend the highest-leverage structural change, including second-order effects.”