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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 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.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 Wochen30-90 min2-8 h1-3 h
Participantsdifferent
6-30 Experten1-65-122-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption ListEvent Timeline, Ubiquitous Language, Boundaries, Open QuestionsContext Map, Integration Patterns, Boundary Notes
Tagsno overlap
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
Domain-Driven DesignEventsDiscoveryWorkshop
Domain-Driven DesignBoundariesStrategy
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