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| Criterion |  Decision Making Decision Tree |  Innovation TRIZ |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | For technical contradictions or trade-offs, the method looks for solutions that resolve opposing requirements at the same time. It translates limits into an explicit picture of conflict that becomes workable. This produces not just compromises but more elegant principles. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 30-90 min | 1-4 h | 45-75 min | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Contradiction Statement, Inventive Principles, Solution Concepts | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionTreeOptions | InnovationProblem solvingContradictionsCreativity | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |