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Criterion
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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
Purposedifferent
When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.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.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.
Complexitydifferent
MediumLowLowMedium
Timedifferent
60-90 min45-90 min1-2 h60-90 min
Participantsdifferent
2-102-82-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
RICE Scores, Ranked List, Assumption LogAssumption List, Critical Assumptions, Learning PlanDIBB document, Belief list, Bet list, Learning reportPrioritization Canvas, Hypothesis Backlog
Tagsno overlap
PrioritizationScoringRoadmapTradeoffs
AssumptionsRiskDecisionDiscovery
StrategyDecisionAssumptionsHypothesis
ExperimentsPrioritizationDiscoveryHypothesis
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