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Criterion
Paper illustration for ABC Analysis
Operations
ABC Analysis
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
EventStorming on a long working surface: colored event cards form a business flow, friction points are marked, and a boundary separates different areas of responsibility.
Domain Modeling
EventStorming
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Purposedifferent
With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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 a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views.When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.
Complexitydifferent
LowLowMediumMedium
Timedifferent
30-60 min1 h bis mehrere Wochen2-8 h60-90 min
Participantsdifferent
1-51-85-123-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
ABC Classification, Focus Rules, Control ListPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeEvent Timeline, Ubiquitous Language, Boundaries, Open QuestionsPrioritization Canvas, Hypothesis Backlog
Tagsno overlap
PrioritizationOperationsPortfolio
Continuous improvementLeanExperiments
Domain-Driven DesignEventsDiscoveryWorkshop
ExperimentsPrioritizationDiscoveryHypothesis
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