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Criterion
Paper illustration for CATWOE Analysis.
Systems Thinking
CATWOE Analysis
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
CATWOE structures a problem from six viewpoints and prevents too narrow a view of the situation. Different experiences of the system become comparably discussable this way.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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumLowHighLow
Timedifferent
45-90 min1 h bis mehrere Wochen1-4 Wochen30-60 min
Participantsdifferent
3-81-81-61-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
CATWOE Canvas, Root Definition, Stakeholder Perspectives, ConstraintsPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
Systems thinkingFramingStakeholders
Continuous improvementLeanExperiments
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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