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| Criterion |  Decision Making Decision Tree |  Product Discovery Learning Card |  Decision Making Force Field Analysis |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 30-90 min | 25-40 min | 45-90 min | 30-60 min |
Participantsdifferent | 1-6 | 1-5 | 3-12 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Learning Card with evidence and next action | Force Field Map, Change Levers, Risk Notes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionTreeOptions | ExperimentsValidationDiscoveryLearning | ChangeDecisionStrategy | ExperimentsValidationDiscoveryHypothesis |