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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Product Discovery Assumption Mapping |
|---|---|---|---|
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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 30-90 min | 45-60 min |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Decision Tree, Option Map, Assumption List | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | AssumptionsRiskExperimentsValidation |
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