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| Criterion |  Growth A/B Testing |  Business Strategy Value Chain Analysis |  Product Discovery Riskiest Assumption Test |  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. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | High | Medium | Low |
Timedifferent | 1-4 Wochen | Half day | 1-2 Wochen pro Iteration | 30-60 min |
Participantsdifferent | 1-6 | 3-8 | 2-6 | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Value Chain Map, Lever List | Prioritized Assumption List, Test Plan, Results Report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | StrategyBusiness modelDiagnosisAnalysis | ExperimentsValidationDiscoveryAssumptions | ExperimentsValidationDiscoveryHypothesis |