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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.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.Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic.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
LowMediumMediumLow
Timedifferent
1-2 h60-90 min2-6 h30-60 min
Participantsdifferent
2-83-82-81-5
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativePrioritization Canvas, Hypothesis BacklogEvent Model, UI Flow, Commands, Read ModelsCompleted Experiment Canvas, Success Metric
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
ExperimentsPrioritizationDiscoveryHypothesis
EventsBlueprintDomain-Driven DesignBehavior
ExperimentsValidationDiscoveryHypothesis
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