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Criterion
Paper illustration of a four-quadrant grid with tasks sorted by importance and urgency and translated into actions.
Decision Making
Eisenhower Matrix
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
It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped.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
LowMediumLow
Timedifferent
15-30 min60-90 min1-2 h
Participantsdifferent
1-63-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Eisenhower Matrix, Action List, Delegation NotesPrioritization Canvas, Hypothesis BacklogDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
PrioritizationFocusTasks
ExperimentsPrioritizationDiscoveryHypothesis
StrategyDecisionAssumptionsHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card