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| Criterion | ![]() Growth Funnel Analysis | ![]() Systems Thinking Current Reality Tree | ![]() Growth A/B Testing | ![]() Operations Causal Factor Analysis |
|---|---|---|---|---|
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. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | 1-3 h | 2-6 h | 1-4 Wochen | 2-6 h |
Participantsdifferent | 1-5 | 3-8 | 1-6 | 3-10 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Current Reality Tree, Core Problems, Intervention Ideas | Experiment results, Decision log, Learning summary | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | AnalyticsConversionGrowth | Systems thinkingRoot causeConstraintsCausality | ExperimentsGrowthAnalyticsValidation | CausalityIncidentRoot causeTimeline |



