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| Criterion | ![]() Decision Making Delphi Method | ![]() Growth Flywheel | ![]() Product Discovery Learning Card | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | High |
Timedifferent | 1-4 Wochen | 60-120 min | 25-40 min | 1-4 Wochen |
Participantsdifferent | 6-30 Experten | 3-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Learning Card with evidence and next action | Experiment results, Decision log, Learning summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | GrowthRetentionConversion | ExperimentsValidationDiscoveryLearning | ExperimentsGrowthAnalyticsValidation |



