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| Criterion |  Systems Thinking Future Reality Tree |  Product Discovery Solution Interview |  Product Discovery Learning Card |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | High | Medium | Low | Medium |
Timedifferent | 2-4 h | 30-60 min je Interview | 25-40 min | 1-5 Tage |
Participantsdifferent | 3-8 | 5-10 Interviews | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Solution Feedback, Objection List, Validation Notes | Learning Card with evidence and next action | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | ValidationInterviewsPrototype | ExperimentsValidationDiscoveryLearning | ValidationExperimentsDemandDiscovery |