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| Criterion | ![]() Systems Thinking Polarity Mapping | ![]() Product Strategy Impact Mapping | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely. | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 | Medium | Medium | Medium | High |
Timedifferent | 1-2 h | 45-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Impact Map, Outcome Hypotheses, Delivery Options | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingTradeoffsLeadership | OutcomesStrategyBehaviorPlanning | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



