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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy Counter Metrics |  Product Strategy DIBB |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 60-90 min | 30-60 min | 1-2 h | 45-90 min |
Participantsdifferent | 3-8 | 2-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Counter Metric List, Guardrail Definitions | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | MetricsMeasurementStrategyExperiments | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |