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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  Product Discovery Opportunity Solution Tree |  Product Strategy GIST Planning |
|---|---|---|---|---|
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. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 30-90 min | 1-2 h Setup, laufend | Wochen bis Monate je Goal |
Participantsdifferent | 2-8 | 1-6 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Opportunity Solution Tree, Experiment Backlog, Learning Log | Goals, Idea bank, Step-project list, Tasks, Learning reports |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | DiscoveryOutcomesExperimentsOpportunity | RoadmapOutcomesPlanningExperiments |