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| Criterion |  Growth Funnel Analysis |  Product Discovery Hypothesis Prioritization Canvas |  Facilitation Power Interest Grid |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. | When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 60-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Prioritization Canvas, Hypothesis Backlog | Power Interest Grid, Strategy per Stakeholder | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsPrioritizationDiscoveryHypothesis | StakeholdersFacilitationAlignmentPlanning | ExperimentsGrowthAnalyticsValidation |