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| Criterion |  Growth Funnel Analysis |  Facilitation Consensus Workshop |  Product Discovery Hypothesis Prioritization Canvas |  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 a group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time. | 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 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 | Medium | High |
Timedifferent | 1-3 h | 1-3 h | 60-90 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 5-30 | 3-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Consensus Clusters, Theme Titles, Priority Areas | Prioritization Canvas, Hypothesis Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | FacilitationConsensusWorkshopAlignment | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |