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| Criterion |  Systems Thinking Future Reality Tree |  Product Discovery Learning Card |  Product Discovery Problem Interview |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 2-4 h | 25-40 min | 30-60 min je Interview | 45-75 min |
Participantsdifferent | 3-8 | 1-5 | 5-12 Interviews | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Learning Card with evidence and next action | Problem Evidence, Risk Notes, Customer Segments | Test Matrix, Test Plan |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryLearning | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryOptions |