View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Business Strategy Blue Ocean Strategy Canvas | ![]() Growth Flywheel | ![]() Product Discovery Fake Door Test | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | The Blue Ocean Strategy Canvas shows how an offering is positioned relative to the market. Differentiation thereby becomes tangible in value factors instead of merely being claimed. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | 2-4 h | 60-120 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-10 | 3-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Strategy Canvas, Value Curve, ERRC Actions | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyPositioningInnovationValue | GrowthRetentionConversion | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |



