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Criterion
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
MediumLowMediumLow
Timedifferent
60-120 min45-90 min60-90 min1-2 h
Participantsdifferent
3-62-83-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Opportunity Score Table, Top OutcomesAssumption List, Critical Assumptions, Learning PlanPrioritization Canvas, Hypothesis BacklogDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
PrioritizationDiscoveryOutcomesNeeds
AssumptionsRiskDecisionDiscovery
ExperimentsPrioritizationDiscoveryHypothesis
StrategyDecisionAssumptionsHypothesis
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