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Criterion
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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
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 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 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.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
HighMediumHighHigh
Timedifferent
1 Tag bis mehrere Wochen1-3 h2-6 h2-6 h
Participantsdifferent
4-102-83-103-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Problem Statement, Prototype, Test LearningsCausal Loop Diagram, Feedback Notes, Leverage PointsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
InnovationPrototypeResearch
FeedbackSystems thinkingCausalityDynamics
CausalityIncidentRoot causeTimeline
Systems thinkingRoot causeConstraintsCausality
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