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| Criterion |  Product Strategy Lean Canvas |  UX Research Card Sorting |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 45-90 min | 20-45 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-6 | Based on research question | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | StartupLeanAssumptionsBusiness model | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |