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| Criterion |  Decision Making Constraint Analysis |  Product Discovery Opportunity Solution Tree |  Decision Making Decision 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. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-2 h Setup, laufend | 30-90 min | Wochen bis Monate je Goal |
Participantsdifferent | 2-8 | 2-6 | 1-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Opportunity Solution Tree, Experiment Backlog, Learning Log | Decision Tree, Option Map, Assumption List | Goals, Idea bank, Step-project list, Tasks, Learning reports |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DiscoveryOutcomesExperimentsOpportunity | DecisionTreeOptions | RoadmapOutcomesPlanningExperiments |