View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Innovation Design Sprint |  Decision Making Decision Tree |  Product Discovery Problem Interview |  Product Discovery Concierge MVP |
|---|---|---|---|---|
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. | 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. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 4-5 Tage | 30-90 min | 30-60 min je Interview | 1-4 Wochen |
Participantsdifferent | 5-8 | 1-6 | 5-12 Interviews | 3-10 Kunden |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Decision Tree, Option Map, Assumption List | Problem Evidence, Risk Notes, Customer Segments | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | Design sprintPrototypeValidationInnovation | DecisionTreeOptions | DiscoveryInterviewsValidation | MVPValidationServiceDiscovery |