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| Criterion |  Growth Funnel Analysis |  Product Strategy DIBB |  Product Discovery Experiment Canvas |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-3 h | 1-2 h | 30-60 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-5 | 2-8 | 1-5 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | DIBB document, Belief list, Bet list, Learning report | Completed Experiment Canvas, Success Metric | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | AnalyticsConversionGrowth | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryAssumptions |