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| Criterion |  Decision Making Decision Tree |  Growth A/B Testing |  Decision Making Argument Mapping |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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 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. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 30-90 min | 1-4 Wochen | 1-3 h | 30-90 min |
Participantsdifferent | 1-6 | 1-6 | 1-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary | Argument Map, Evidence Gaps, Decision Rationale | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation | SensemakingDecisionRationale | ConstraintsDecisionPlanningOptions |