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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Decision Making Trade-off 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 30-90 min | 45-120 min |
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 | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | TradeoffsDecisionCriteriaOptions |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
