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| Criterion |  Product Strategy Value Proposition Canvas |  Growth A/B Testing |  Decision Making Assumption Surfacing |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When the value proposition and customer expectation drift apart, it makes fit and mismatch legible. It shows where offering and need don't yet come together. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. | 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 | Medium | High | Low | Low |
Timedifferent | 1-2 h | 1-4 Wochen | 45-90 min | 1-2 h |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Value Proposition Canvas, Fit Gaps, Hypotheses | Experiment results, Decision log, Learning summary | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ValueNeedsStrategy | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |