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| Criterion |  Growth A/B Testing |  Facilitation Stakeholder Salience Model |  Product Discovery Assumption Mapping |
|---|---|---|---|
Purposedifferent | 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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 60-90 min | 45-60 min |
Participantsdifferent | 1-6 | 3-6 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Salience Diagram, Strategy per Class | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | StakeholdersFacilitationAlignmentGovernance | AssumptionsRiskExperimentsValidation |
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