Systems Thinking

Identifies high-leverage intervention points in complex systems by mapping feedback loops, spotting archetypes (fixes-that-fail, shifting-burden), and ranking via Meadows' hierarchy. For problems with delays, emergence, or failed fixes.

Analyze problems as interconnected systems with feedback loops, emergent behavior, and non-linear effects. Use for debugging complex systems, architecture decisions, and understanding unexpected behavior.

Maps, analyzes, and redesigns systems behind product experiences with service blueprints, ecosystem maps, process architecture, and dependency diagrams. For dependency analysis and workflow redesign.