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| Criterion |  Growth Funnel Analysis |  Product Discovery Smoke Test |  Business Strategy Value Chain Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 1-3 h | 1-5 Tage | Half day | 1-4 Wochen |
Participantsdifferent | 1-5 | Nutzertraffic | 3-8 | 1-6 |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Interest Metrics, Conversion Signal, Learning Note | Value Chain Map, Lever List | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | ValidationExperimentsDemandGrowth | StrategyBusiness modelDiagnosisAnalysis | ExperimentsGrowthAnalyticsValidation |