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This cluster examines decision-making and intervention in complex systems.
Defines concepts, methods and operational terms for sensemaking, hypothesis formation and intervention in complex socio-technical systems. Includes situation modeling, causality analysis, uncertainty modeling, scenario planning, measurement and monitoring metrics, feedback-loop identification and decision architectures. Excludes detailed implementation guides, product-specific tools and training materials; legal frameworks and operational IT deployments are out of scope.
A context-driven sense‑making and decision framework for classifying problem situations and selecting appropriate approaches.
Sensemaking describes how people and organizations interpret complex, ambiguous situations, structure them, and create action-relevant meaning.