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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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
Purposedifferent
A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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 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.
Complexitydifferent
HighMediumHighLow
Timedifferent
1-4 h or multiple rounds1-3 h1-4 Wochen1-2 h
Participantsdifferent
4-12 Experten2-86-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesContext Map, Integration Patterns, Boundary NotesExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationExpertsForecasting
Domain-Driven DesignBoundariesStrategy
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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