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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  Product Strategy GIST Planning |  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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | 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 Goal | 45-75 min |
Participantsdifferent | 2-8 | 1-6 | 3-10 | 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 | Goals, Idea bank, Step-project list, Tasks, Learning reports | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | RoadmapOutcomesPlanningExperiments | ExperimentsValidationDiscoveryOptions |