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| Criterion | ![]() Systems Thinking Future Reality Tree | ![]() Product Discovery MVP Test Matrix | ![]() Product Discovery Problem Interview | ![]() Product Discovery Learning Card |
|---|---|---|---|---|
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 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 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 2-4 h | 45-75 min | 30-60 min je Interview | 25-40 min |
Participantsdifferent | 3-8 | 2-8 | 5-12 Interviews | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Test Matrix, Test Plan | Problem Evidence, Risk Notes, Customer Segments | Learning Card with evidence and next action |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryOptions | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryLearning |



