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| Criterion |  Delivery Cost of Delay |  Decision Making Decision Matrix |  Growth Funnel Analysis |  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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 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 | Medium | High |
Timedifferent | 90-180 min | 45-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | CoD Table, Prioritization Sequence | Decision Matrix, Scoring Rationale, Selected Option | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | DecisionCriteriaScoringTradeoffs | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |