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| Criterion |  Product Discovery Working Backwards |  Growth A/B Testing |  Facilitation Stakeholder Salience Model |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 4-8 h, mehrere Iterationen | 1-4 Wochen | 60-90 min | 1-5 Tage |
Participantsdifferent | 2-6 | 1-6 | 3-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Experiment results, Decision log, Learning summary | Salience Diagram, Strategy per Class | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | VisionNarrativeAlignment | ExperimentsGrowthAnalyticsValidation | StakeholdersFacilitationAlignmentGovernance | ValidationExperimentsDemandGrowth |