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Selected:Standard Work AnalysisExperiment CanvasATAM (Architecture Tradeoff Analysis Method)Fake Door Test
| Criterion |  Operations Standard Work Analysis |  Product Discovery Experiment Canvas |  Architecture ATAM (Architecture Tradeoff Analysis Method) |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When the same task is done differently depending on the person, the method exposes the reliable core. It creates comparability without unnecessarily choking off needed latitude. | 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. | ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation. | 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 | 1-3 h | 30-60 min | Several meetings plus preparation and analysis; total effort depends on scope | 1-5 Tage |
Participantsdifferent | 2-6 | 1-5 | Evaluation team, architects, and relevant stakeholders | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Standard Work Sheet, Deviation List, Improved Standard, Training Needs | Completed Experiment Canvas, Success Metric | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | LeanProcessQuality | ExperimentsValidationDiscoveryHypothesis | ArchitectureQualityRiskTradeoffsStakeholders | ValidationExperimentsDemandDiscovery |