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| Criterion |  Operations PDCA Cycle |  Product Discovery Experiment Canvas |  Architecture LASR (Lightweight Approach for Software Reviews) |
|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 30-60 min | 3–4 h for initial assessment; preparation and deeper analysis additional |
Participantsdifferent | 1-8 | 1-5 | 1 or a small team; particularly suitable for 3–4 people |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | 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 |
Tagsno overlap | Continuous improvementLeanExperiments | ExperimentsValidationDiscoveryHypothesis | ArchitectureQualityRiskAssessmentLean |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
