View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-3 h | 45-75 min | 1-5 Tage |
Participantsdifferent | 1-6 | 3-8 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionTreeOptions | FailureResilienceRisk | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |