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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Innovation TRIZ |
|---|---|---|---|
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. | For technical contradictions or trade-offs, the method looks for solutions that resolve opposing requirements at the same time. It translates limits into an explicit picture of conflict that becomes workable. This produces not just compromises but more elegant principles. |
Complexitydifferent | High | Medium | High |
Timedifferent | Mehrere Wochen | 30-90 min | 1-4 h |
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 | Contradiction Statement, Inventive Principles, Solution Concepts |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | InnovationProblem solvingContradictionsCreativity |
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