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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Innovation Contradiction Analysis |
|---|---|---|---|
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 a system should improve while another measure suffers as a result, the method makes the underlying conflict precisely formulable. It separates the desired effect from its side effect. This makes solutions possible that address the contradiction deliberately instead of half-heartedly. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 30-90 min | 60-120 min |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Decision Tree, Option Map, Assumption List | Contradiction Statement, Abstraction Notes, Solution Principles, Concept Ideas |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | ContradictionsInnovationProblem solving |
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