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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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.Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic.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
LowMediumHigh
Timedifferent
1-2 h2-6 h1-4 Wochen
Participantsdifferent
2-82-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportEvent Model, UI Flow, Commands, Read ModelsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
EventsBlueprintDomain-Driven DesignBehavior
ForecastingExpertsDecisionStrategy
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Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis