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| Criterion |  Growth Funnel Analysis |  Operations Waste Analysis |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-3 h | 45-120 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-5 | 2-8 | 1-6 | 1-5 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Waste Map, Prioritized Waste, Improvement Backlog | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AnalyticsConversionGrowth | WasteLeanProcess improvement | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |