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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
MediumHighHighHigh
Timedifferent
1-3 hMehrere Tage bis Wochen1 Tag bis mehrere Wochen2-6 h
Participantsdifferent
2-81-5 Modellierende, Stakeholder asynchron4-103-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsSimulation Model, Scenario ReportsProblem Statement, Prototype, Test LearningsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
Systems thinkingDynamicsSimulationAnalysis
InnovationPrototypeResearch
Systems thinkingRoot causeConstraintsCausality
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