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| Criterion |  Innovation Design Sprint |  Decision Making Decision Tree |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|
Purposedifferent | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. | 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. |
Complexitydifferent | High | Medium | High |
Timedifferent | 4-5 Tage | 30-90 min | Mehrere Wochen |
Participantsdifferent | 5-8 | 1-6 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Decision Tree, Option Map, Assumption List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | Design sprintPrototypeValidationInnovation | DecisionTreeOptions | OutcomesInnovationResearchQuantitative |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
