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| Criterion | ![]() Growth A/B Testing | ![]() Architecture Risk Storming | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Low | Low |
Timedifferent | 1-4 Wochen | 60-90 min | 30-60 min |
Participantsdifferent | 1-6 | 4-12 | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Annotated Diagram, Prioritized Risk List, Action Backlog | Completed Experiment Canvas, Success Metric |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | RiskArchitectureWorkshopValidation | ExperimentsValidationDiscoveryHypothesis |
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