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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Rights Mapping |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | In organizations with many stakeholders, it often blurs who actually decides and who is merely consulted. It separates options, evaluation criteria, and open risks. The result is captured as a Decision Rights matrix and an agreement. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 30-90 min | 90-180 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 4-12 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Rights Matrix, Agreement | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionGovernanceAlignmentResponsibility | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |