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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Facilitation Stakeholder Salience Model |  Facilitation Stakeholder 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 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 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 an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 1-5 Tage | 60-90 min | 60–90 min |
Participantsdifferent | 1-6 | Nutzertraffic | 3-6 | 2-8 |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Salience Diagram, Strategy per Class | Stakeholder Map, Engagement Plan, Risk Notes |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | StakeholdersFacilitationAlignmentGovernance | StakeholdersAlignmentFacilitationChange |