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| Criterion |  Decision Making Constraint Analysis |  Product Strategy GIST Planning |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 30-90 min | Wochen bis Monate je Goal | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Goals, Idea bank, Step-project list, Tasks, Learning reports | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ConstraintsDecisionPlanningOptions | RoadmapOutcomesPlanningExperiments | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |