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| Criterion | ![]() Decision Making Radar | ![]() Product Discovery Pretotyping | ![]() Growth A/B Testing | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When capabilities, maturity levels, or market positions need to be compared across several dimensions, overview is easily lost. Radar brings different characteristics into a shared picture and shows patterns faster than tables do. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-2 h | Stunden bis wenige Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-10 | 1-4 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Radar Map, Capability Scores, Action Areas | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | AssessmentPortfolioCapability | ValidationDemandMVP | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |



