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| Criterion |  Operations Root Cause Tree Analysis |  Product Discovery Smoke Test |  Product Discovery Pretotyping |
|---|---|---|---|
Purposedifferent | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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. | 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. |
Complexitydifferent | Medium | Low | Low |
Timedifferent | 1-3 h | 1-5 Tage | Stunden bis wenige Tage |
Participantsdifferent | 2-8 | Nutzertraffic | 1-4 |
Formatdifferent | Workshop | Async | Workshop + async |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Interest Metrics, Conversion Signal, Learning Note | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision |
Tagsno overlap | Root causeTreeIncidentQuality | ValidationExperimentsDemandGrowth | ValidationDemandMVP |
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