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| Criterion |  Product Discovery Solution Interview |  Decision Making Constraint Analysis |  Growth A/B Testing |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-60 min je Interview | 30-90 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 5-10 Interviews | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Experiment results, Decision log, Learning summary | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ValidationInterviewsPrototype | ConstraintsDecisionPlanningOptions | ExperimentsGrowthAnalyticsValidation | DecisionTreeOptions |