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| Criterion |  Product Discovery Opportunity Solution Tree |  Decision Making Constraint Analysis |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 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 | Medium | Low | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 30-90 min | 45-75 min | 30-60 min |
Participantsdifferent | 2-6 | 2-8 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |