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| Criterion |  Delivery Cost of Delay |  Growth Funnel Analysis |  Decision Making Risk Matrix |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 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 | High | Medium | Low | High |
Timedifferent | 90-180 min | 1-3 h | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 3-10 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | CoD Table, Prioritization Sequence | Funnel report, Drop-off analysis, Optimization hypotheses | Risk Matrix, Top Risk List | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | AnalyticsConversionGrowth | RiskDecisionPrioritizationAssessment | ExperimentsGrowthAnalyticsValidation |