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| Criterion |  Systems Thinking Future Reality Tree |  Innovation Design Sprint |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | High | High | Low | High |
Timedifferent | 2-4 h | 4-5 Tage | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-8 | 5-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Prototype, Test Findings, Decision Rationale | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | Design sprintPrototypeValidationInnovation | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |