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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  Innovation Lean Startup |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 30-90 min | Wochen bis Monate je Lernzyklus | 45-75 min |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | LeanStartupValidationMVP | ExperimentsValidationDiscoveryOptions |