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| Criterion | ![]() Decision Making Three-Point Estimation | ![]() Growth Flywheel | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 | 10-30 min je Item | 60-120 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Three-Point Estimate, Risk Range, Assumption Notes | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationUncertaintyForecasting | GrowthRetentionConversion | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



