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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 h or multiple rounds1-2 h60-90 min30-60 min
Participantsdifferent
4-12 Experten2-83-81-5
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesDIBB document, Belief list, Bet list, Learning reportPrioritization Canvas, Hypothesis BacklogCompleted Experiment Canvas, Success Metric
Tagsno overlap
EstimationExpertsForecasting
StrategyDecisionAssumptionsHypothesis
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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