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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
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 Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.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
LowHighHighHigh
Timedifferent
1 h bis mehrere Wochen1 Tag bis mehrere Wochen2-6 h2-6 h
Participantsdifferent
1-84-103-103-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeProblem Statement, Prototype, Test LearningsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
Continuous improvementLeanExperiments
InnovationPrototypeResearch
CausalityIncidentRoot causeTimeline
Systems thinkingRoot causeConstraintsCausality
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