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Selected:Experiment CanvasLASR (Lightweight Approach for Software Reviews)ATAM (Architecture Tradeoff Analysis Method)Fake Door Test
| Criterion |  Product Discovery Experiment Canvas |  Architecture LASR (Lightweight Approach for Software Reviews) |  Architecture ATAM (Architecture Tradeoff Analysis Method) |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail. | 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 | Low | Medium | High | Medium |
Timedifferent | 30-60 min | 3–4 h for initial assessment; preparation and deeper analysis additional | Several meetings plus preparation and analysis; total effort depends on scope | 1-5 Tage |
Participantsdifferent | 1-5 | 1 or a small team; particularly suitable for 3–4 people | Evaluation team, architects, and relevant stakeholders | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Lean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks | 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 | ExperimentsValidationDiscoveryHypothesis | ArchitectureQualityRiskAssessmentLean | ArchitectureQualityRiskTradeoffsStakeholders | ValidationExperimentsDemandDiscovery |