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| Criterion | ![]() Growth A/B Testing | ![]() Architecture Risk Storming | ![]() Product Discovery Fake Door Test |
|---|---|---|---|
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. | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 1-4 Wochen | 60-90 min | 1-5 Tage |
Participantsdifferent | 1-6 | 4-12 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Annotated Diagram, Prioritized Risk List, Action Backlog | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | RiskArchitectureWorkshopValidation | ValidationExperimentsDemandDiscovery |
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