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Selected:Experiment CanvasHypothesis Prioritization CanvasLASR (Lightweight Approach for Software Reviews)
| Criterion |  Product Discovery Experiment Canvas |  Product Discovery Hypothesis Prioritization Canvas |  Architecture LASR (Lightweight Approach for Software Reviews) |
|---|---|---|---|
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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Medium | Medium |
Timedifferent | 30-60 min | 60-90 min | 3–4 h for initial assessment; preparation and deeper analysis additional |
Participantsdifferent | 1-5 | 3-8 | 1 or a small team; particularly suitable for 3–4 people |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Prioritization Canvas, Hypothesis Backlog | 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 | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis | ArchitectureQualityRiskAssessmentLean |
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