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| Criterion | ![]() Growth Funnel Analysis | ![]() Delivery Communication Plan | ![]() Decision Making Decision Tree | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 many people need to be informed in parallel and messages would otherwise arrive unevenly or too late, a Communication Plan orders communication reliably. Channels, audiences, and cadences interlock so important information doesn't get lost. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Medium | Low | Medium | High |
Timedifferent | 1-3 h | 45-90 min | 30-90 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-6 | 1-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Communication Plan, Channel Matrix, Message Cadence | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | CommunicationStakeholdersDeliveryPlanning | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation |



