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Criterion
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Purposedifferent
When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.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.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.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.
Complexitydifferent
MediumLowHighMedium
Timedifferent
60-120 min1-2 h90-180 min60-90 min
Participantsdifferent
3-62-83-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Opportunity Score Table, Top OutcomesDIBB document, Belief list, Bet list, Learning reportCoD Table, Prioritization SequencePrioritization Canvas, Hypothesis Backlog
Tagsno overlap
PrioritizationDiscoveryOutcomesNeeds
StrategyDecisionAssumptionsHypothesis
PrioritizationDeliveryEconomicsDecision
ExperimentsPrioritizationDiscoveryHypothesis
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