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| Criterion |  Product Strategy Lean Canvas |  Growth Flywheel |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 45-90 min | 60-120 min | 1-4 Wochen | 1-3 h |
Participantsdifferent | 1-6 | 3-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | StartupLeanAssumptionsBusiness model | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |