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| Criterion |  Product Discovery Working Backwards |  Growth A/B Testing |  Growth North Star Metric |  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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | 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 | 1-2 h | 1-5 Tage |
Participantsdifferent | 2-6 | 1-6 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Experiment results, Decision log, Learning summary | North Star metric, Input metric tree, Measurement cadence | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | VisionNarrativeAlignment | ExperimentsGrowthAnalyticsValidation | GrowthMetricsAlignmentRetention | ValidationExperimentsDemandGrowth |