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| Criterion | ![]() Operations DMAIC | ![]() Architecture Risk Storming | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 2-12 Wochen | 60-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-10 | 4-12 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Annotated Diagram, Prioritized Risk List, Action Backlog | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Continuous improvementQualityProcess improvement | RiskArchitectureWorkshopValidation | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



