View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Business Strategy Value Chain Analysis |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | High | Low | Medium | High |
Timedifferent | Half day | 1-5 Tage | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-8 | Nutzertraffic | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Value Chain Map, Lever List | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyBusiness modelDiagnosisAnalysis | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |