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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Systems Thinking Future Reality Tree |  Product Discovery Test Card |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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 | 60-90 min | 2-4 h | 20-35 min | 1-5 Tage |
Participantsdifferent | 3-8 | 3-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Test Card with a pre-set threshold | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |