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Criterion
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
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
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 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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 Wochen1-2 h60-90 min20-35 min
Participantsdifferent
6-30 Experten2-83-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportPrioritization Canvas, Hypothesis BacklogTest Card with a pre-set threshold
Tagsno overlap
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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