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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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 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 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
HighMediumHigh
Timedifferent
1-4 h or multiple rounds60-90 min1-4 Wochen
Participantsdifferent
4-12 Experten3-86-30 Experten
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesPrioritization Canvas, Hypothesis BacklogExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationExpertsForecasting
ExperimentsPrioritizationDiscoveryHypothesis
ForecastingExpertsDecisionStrategy
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Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing