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Criterion
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumMediumLowLow
Timedifferent
60-90 min1-3 h1-2 h20-35 min
Participantsdifferent
3-82-82-81-5
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritization Canvas, Hypothesis BacklogContext Map, Integration Patterns, Boundary NotesDIBB document, Belief list, Bet list, Learning reportTest Card with a pre-set threshold
Tagsno overlap
ExperimentsPrioritizationDiscoveryHypothesis
Domain-Driven DesignBoundariesStrategy
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
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