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| Criterion |  Growth A/B Testing |  Team Design Team API |  Product Discovery Smoke Test |  Product Discovery Concierge MVP |
|---|---|---|---|---|
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 expectations between teams stay fuzzy, it describes how a team can be reached, used, and held accountable. It clarifies responsibility, interaction, and load between teams. The result is captured as a Team API document. | 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | Half day initial, dann laufend | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-6 | Ein Team plus Stakeholder | Nutzertraffic | 3-10 Kunden |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Team API Document | Interest Metrics, Conversion Signal, Learning Note | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | TeamAlignmentCommunicationService | ValidationExperimentsDemandGrowth | MVPValidationServiceDiscovery |