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| Criterion | ![]() Product Strategy Impact Mapping | ![]() Growth A/B Testing | ![]() Product Discovery Outcome-Driven Innovation | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 | High | High | Low |
Timedifferent | 45-90 min | 1-4 Wochen | Mehrere Wochen | 1-5 Tage |
Participantsdifferent | 3-8 | 1-6 | 2-6 researchers plus sample | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Experiment results, Decision log, Learning summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | ExperimentsGrowthAnalyticsValidation | OutcomesInnovationResearchQuantitative | ValidationExperimentsDemandGrowth |



