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| Criterion |  Decision Making Risk Matrix |  Growth Funnel Analysis |  Delivery Cost of Delay |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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 | High | High |
Timedifferent | 30-60 min | 1-3 h | 90-180 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Risk Matrix, Top Risk List | Funnel report, Drop-off analysis, Optimization hypotheses | CoD Table, Prioritization Sequence | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskDecisionPrioritizationAssessment | AnalyticsConversionGrowth | PrioritizationDeliveryEconomicsDecision | ExperimentsGrowthAnalyticsValidation |