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| Criterion |  Growth Funnel Analysis |  Facilitation Stakeholder Salience Model |  Product Discovery Smoke Test |  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 stakeholders appear to matter very differently, the Stakeholder Salience Model rates their actual priority through power, legitimacy, and urgency. It turns individual contributions into a visible selection. The result is captured as a Salience diagram and a class-based strategy. | 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 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 | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-6 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Salience Diagram, Strategy per Class | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | StakeholdersFacilitationAlignmentGovernance | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |