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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Pre-Mortem |  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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 | Low | Medium |
Timedifferent | Mehrere Wochen | 20–45 min | 30-90 min |
Participantsdifferent | 2-6 researchers plus sample | Small cross-functional group | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Risk list, Mitigation plan, Assumption log | Decision Tree, Option Map, Assumption List |
Tagsno overlap | OutcomesInnovationResearchQuantitative | RiskDecisionFailurePlanning | DecisionTreeOptions |
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