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| Criterion |  Growth Funnel Analysis |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 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 | Mehrere Wochen | 1 Tag bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-6 researchers plus sample | 4-10 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | ExperimentsGrowthAnalyticsValidation |