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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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.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.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
MediumHighHighHigh
Timedifferent
1-3 h1 Tag bis mehrere Wochen2-6 h2-6 h
Participantsdifferent
2-84-103-83-10
Formatdifferent
WorkshopWorkshopWorkshopWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsProblem Statement, Prototype, Test LearningsCurrent Reality Tree, Core Problems, Intervention IdeasEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
InnovationPrototypeResearch
Systems thinkingRoot causeConstraintsCausality
CausalityIncidentRoot causeTimeline
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