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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 DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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.
Complexitydifferent
LowLowMediumHigh
Timedifferent
1-2 h1-2 h1-3 h1-4 Wochen
Participantsdifferent
2-82-82-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeDIBB document, Belief list, Bet list, Learning reportIssue Map, Positions, Argument NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
StrategyDecisionAssumptionsHypothesis
RationaleKnowledgeDecision
ForecastingExpertsDecisionStrategy
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