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| Criterion |  Growth Funnel Analysis |  Product Strategy Lean Canvas |  Product Discovery Riskiest Assumption Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | 1-3 h | 45-90 min | 1-2 Wochen pro Iteration | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-6 | 2-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Lean Canvas, Core Assumptions, Experiment Backlog | Prioritized Assumption List, Test Plan, Results Report | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | StartupLeanAssumptionsBusiness model | ExperimentsValidationDiscoveryAssumptions | ExperimentsGrowthAnalyticsValidation |