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| Criterion |  UX Design Design Studio |  Growth A/B Testing |  Innovation Starbursting |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When several designs need to be quickly put in relation to each other, it makes ideas visible and comparable. It encourages early variants instead of long upfront debates. | 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. | Helps clarify ideas, open questions, and testable next steps in concrete terms. It opens the thinking space, collects ideas, and leads to testable options. The result is captured as a star-shaped question map, question list, and assumption list. | 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 | High | Low | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 30-60 min | 30-60 min |
Participantsdifferent | 3-8 | 1-6 | 3-10 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Sketches, Concept Directions, Design Decisions | Experiment results, Decision log, Learning summary | Star-Shaped Question Map, Question List, Assumption List | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SketchingCollaborationIdeation | ExperimentsGrowthAnalyticsValidation | BrainstormingIdeationWorkshopDiscovery | ExperimentsValidationDiscoveryHypothesis |