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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 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.
Complexitydifferent
LowMediumMediumHigh
Timedifferent
1-2 h1-3 h1-3 h1-4 Wochen
Participantsdifferent
2-81-52-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeFunnel report, Drop-off analysis, Optimization hypothesesContext Map, Integration Patterns, Boundary NotesExperiment results, Decision log, Learning summary
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
AnalyticsConversionGrowth
Domain-Driven DesignBoundariesStrategy
ExperimentsGrowthAnalyticsValidation
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