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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Product Strategy GIST Planning |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | Mehrere Wochen | 30-90 min | Wochen bis Monate je Goal | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | 3-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Decision Tree, Option Map, Assumption List | Goals, Idea bank, Step-project list, Tasks, Learning reports | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | RoadmapOutcomesPlanningExperiments | InnovationPrototypeResearch |