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| Criterion |  Systems Thinking Leverage Points |  Growth A/B Testing |  Product Discovery MVP Test Matrix |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | Half day | 1-4 Wochen | 45-75 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 3-12 | 1-6 | 2-8 | 2-6 |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | Systems thinkingChangeStrategy | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryAssumptions |