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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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 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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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
LowHighLowMedium
Timedifferent
1-2 h1-4 Wochen1-2 h1-3 h
Participantsdifferent
2-86-30 Experten2-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportContext Map, Integration Patterns, Boundary Notes
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
Domain-Driven DesignBoundariesStrategy
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