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Selected:LASR (Lightweight Approach for Software Reviews)Lean StartupExperiment CanvasFake Door Test
| Criterion | ![]() Architecture LASR (Lightweight Approach for Software Reviews) | ![]() Innovation Lean Startup | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. | 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 | Medium | Low | Medium |
Timedifferent | 3–4 h for initial assessment; preparation and deeper analysis additional | Wochen bis Monate je Lernzyklus | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 or a small team; particularly suitable for 3–4 people | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | 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 | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ArchitectureQualityRiskAssessmentLean | LeanStartupValidationMVP | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |



