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| Criterion |  Innovation Double Diamond |  Decision Making Decision Tree |  Growth A/B Testing |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Wochen bis Monate | 30-90 min | 1-4 Wochen | 45-75 min |
Participantsdifferent | 3-12 | 1-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan |
Tagsno overlap | ProcessDivergenceInnovation | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions |