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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation TRIZ |  Decision Making Decision Tree |
|---|---|---|---|
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 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. | 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. |
Complexitydifferent | High | High | Medium |
Timedifferent | Mehrere Wochen | 1-4 h | 30-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Contradiction Statement, Inventive Principles, Solution Concepts | Decision Tree, Option Map, Assumption List |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationProblem solvingContradictionsCreativity | DecisionTreeOptions |
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