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Criterion
Paper illustration for ABC Analysis
Operations
ABC Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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.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.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
LowHighMediumLow
Timedifferent
30-60 min1-4 Wochen60-90 min1-2 h
Participantsdifferent
1-56-30 Experten3-82-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
ABC Classification, Focus Rules, Control ListExpert Forecast, Consensus Range, Assumption NotesPrioritization Canvas, Hypothesis BacklogDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
PrioritizationOperationsPortfolio
ForecastingExpertsDecisionStrategy
ExperimentsPrioritizationDiscoveryHypothesis
StrategyDecisionAssumptionsHypothesis
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