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| Criterion |  Decision Making Decision Tree |  Decision Making Delphi Method |  Product Discovery MVP Test Matrix |  Product Discovery Learning Card |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 30-90 min | 1-4 Wochen | 45-75 min | 25-40 min |
Participantsdifferent | 1-6 | 6-30 Experten | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Test Matrix, Test Plan | Learning Card with evidence and next action |
Tagsno overlap | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryLearning |