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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Decision Making Impact Filter |
|---|---|---|---|
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. | With new ideas or requests, the conversation often turns to solutions too early and to effect too little. An Impact Filter forces the initiative into an effect perspective and checks whether it creates a relevant difference. |
Complexitydifferent | High | Medium | Low |
Timedifferent | Mehrere Wochen | 30-90 min | 20-45 min |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | 1-6 |
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 | Impact Filter, Success Criteria, Next Step |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | ImpactOutcomesFramingDecision |
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