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| Criterion |  Growth Flywheel |  Growth A/B Testing |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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 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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 60-120 min | 1-4 Wochen | 45-90 min | 30-60 min |
Participantsdifferent | 3-8 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List |
Tagsno overlap | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision |