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| Criterion |  Growth A/B Testing |  Facilitation Stakeholder Salience Model |  Growth Growth Experiment |  Facilitation Power Interest Grid |
|---|---|---|---|---|
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 60-90 min | 1-2 Wochen | 30-60 min |
Participantsdifferent | 1-6 | 3-6 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Salience Diagram, Strategy per Class | Experiment card, Result summary, Next bet | Power Interest Grid, Strategy per Stakeholder |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | StakeholdersFacilitationAlignmentGovernance | MarketingGrowthExperimentsLearning | StakeholdersFacilitationAlignmentPlanning |