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| Criterion |  Innovation Double Diamond |  Systems Thinking Future Reality Tree |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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 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 | Medium | High | Low | High |
Timedifferent | Wochen bis Monate | 2-4 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-12 | 3-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | ProcessDivergenceInnovation | Theory of ConstraintsSystems thinkingChange | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |