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| Criterion |  Product Discovery Solution Interview |  Innovation Design Sprint |  Decision Making Decision Tree |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 30-60 min je Interview | 4-5 Tage | 30-90 min | 45-75 min |
Participantsdifferent | 5-10 Interviews | 5-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Prototype, Test Findings, Decision Rationale | Decision Tree, Option Map, Assumption List | Test Matrix, Test Plan |
Tagsno overlap | ValidationInterviewsPrototype | Design sprintPrototypeValidationInnovation | DecisionTreeOptions | ExperimentsValidationDiscoveryOptions |