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| Criterion |  UX Research HEART Framework |  Innovation Lean Startup |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | High | Low |
Timedifferent | 120 min initial, dann laufend | Wochen bis Monate je Lernzyklus | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-6 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | LeanStartupValidationMVP | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |