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| Criterion |  Decision Making Decision Tree |  Innovation Design Sprint |  Product Discovery Problem Interview |
|---|---|---|---|
Purposedifferent | 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 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. | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-90 min | 4-5 Tage | 30-60 min je Interview |
Participantsdifferent | 1-6 | 5-8 | 5-12 Interviews |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Prototype, Test Findings, Decision Rationale | Problem Evidence, Risk Notes, Customer Segments |
Tagsno overlap | DecisionTreeOptions | Design sprintPrototypeValidationInnovation | DiscoveryInterviewsValidation |
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