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| Criterion |  Product Discovery Opportunity Solution Tree |  Systems Thinking Future Reality Tree |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 2-4 h | 30-60 min | 1-5 Tage |
Participantsdifferent | 2-6 | 3-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |