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| Criterion |  Growth A/B Testing |  Systems Thinking Leverage Points |  Business Strategy Ansoff Matrix |  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. | 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. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. | 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 | Low | Low |
Timedifferent | 1-4 Wochen | Half day | 45-90 min | 30-60 min |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Leverage Map, Action Strategy | Ansoff Matrix, Growth Options, Risk Notes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Systems thinkingChangeStrategy | GrowthStrategyMarketPortfolio | ExperimentsValidationDiscoveryHypothesis |