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| Criterion |  Product Strategy GIST Planning |  Decision Making Decision Tree |  Product Discovery Opportunity Solution Tree |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | Wochen bis Monate je Goal | 30-90 min | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 3-10 | 1-6 | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Goals, Idea bank, Step-project list, Tasks, Learning reports | Decision Tree, Option Map, Assumption List | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tagsno overlap | RoadmapOutcomesPlanningExperiments | DecisionTreeOptions | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |