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| Criterion | ![]() Delivery Cost of Delay | ![]() Growth Funnel Analysis | ![]() Decision Making Trade-off 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 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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 | 1-3 h | 45-120 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | CoD Table, Prioritization Sequence | Funnel report, Drop-off analysis, Optimization hypotheses | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | AnalyticsConversionGrowth | TradeoffsDecisionCriteriaOptions | ExperimentsGrowthAnalyticsValidation |



