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| Criterion |  Growth Funnel Analysis |  Innovation Design Thinking |  Innovation Design Sprint |  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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | High | High | High |
Timedifferent | 1-3 h | 1 Tag bis mehrere Wochen | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 4-10 | 5-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |