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| Criterion |  Product Strategy DIBB |  Growth Growth Experiment |  Decision Making Assumption Surfacing |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. | 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 | Low | Medium | Low | Medium |
Timedifferent | 1-2 h | 1-2 Wochen | 45-90 min | 60-90 min |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Experiment card, Result summary, Next bet | Assumption List, Critical Assumptions, Learning Plan | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | MarketingGrowthExperimentsLearning | AssumptionsRiskDecisionDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |