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| Criterion |  Growth Funnel Analysis |  Product Strategy DIBB |  Product Discovery Smoke Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 1-3 h | 1-2 h | 1-5 Tage | 30-60 min |
Participantsdifferent | 1-5 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | DIBB document, Belief list, Bet list, Learning report | Interest Metrics, Conversion Signal, Learning Note | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AnalyticsConversionGrowth | StrategyDecisionAssumptionsHypothesis | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryHypothesis |