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| Criterion | ![]() Innovation Lean Startup | ![]() UX Research HEART Framework | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Wochen bis Monate je Lernzyklus | 120 min initial, dann laufend | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 3-6 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | HEART-GSM Table, Dashboard | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | LeanStartupValidationMVP | MetricsUX researchMeasurementSatisfaction | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



