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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Facilitation Dot Estimation |  Product Strategy DIBB |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 60-90 min | 5-20 min | 1-2 h | 30-60 min |
Participantsdifferent | 3-8 | 3-20 | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Effort Heatmap, Risk Signals, Discussion Targets | DIBB document, Belief list, Bet list, Learning report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | EstimationEffortRisk | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |