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| Criterion |  Decision Making Constraint Analysis |  UX Research Tree Testing |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30-90 min | 1-2 Tage | 45-75 min | 30-60 min |
Participantsdifferent | 2-8 | Based on research question | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Findability Metrics, Path Analysis, Revised IA | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ConstraintsDecisionPlanningOptions | Information architectureNavigationFindability | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |