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| Criterion |  Growth A/B Testing |  Systems Thinking Future Reality Tree |  Product Discovery Learning Card |  Growth Growth Experiment |
|---|---|---|---|---|
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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | 2-4 h | 25-40 min | 1-2 Wochen |
Participantsdifferent | 1-6 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Learning Card with evidence and next action | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryLearning | MarketingGrowthExperimentsLearning |