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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowHighMediumMedium
Timedifferent
1-2 h1-4 Wochen1-3 h45-60 min
Participantsdifferent
2-81-62-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeExperiment results, Decision log, Learning summaryContext Map, Integration Patterns, Boundary NotesAssumption map, Test backlog, Risk ranking
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
ExperimentsGrowthAnalyticsValidation
Domain-Driven DesignBoundariesStrategy
AssumptionsRiskExperimentsValidation
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