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| Criterion |  Growth Flywheel |  Delivery Cost of Delay |  Growth A/B Testing |  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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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 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 | High | Low |
Timedifferent | 60-120 min | 90-180 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-8 | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | CoD Table, Prioritization Sequence | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List |
Tagsno overlap | GrowthRetentionConversion | PrioritizationDeliveryEconomicsDecision | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision |