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| Criterion |  Product Strategy DIBB |  Growth Growth Experiment |  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. | 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 | Medium |
Timedifferent | 1-2 h | 1-2 Wochen | 60-90 min |
Participantsdifferent | 2-8 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Experiment card, Result summary, Next bet | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | MarketingGrowthExperimentsLearning | ExperimentsPrioritizationDiscoveryHypothesis |
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