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Selected:Hypothesis Prioritization CanvasLASR (Lightweight Approach for Software Reviews)Fake Door Test
| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Architecture LASR (Lightweight Approach for Software Reviews) |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 60-90 min | 3–4 h for initial assessment; preparation and deeper analysis additional | 1-5 Tage |
Participantsdifferent | 3-8 | 1 or a small team; particularly suitable for 3–4 people | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | 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 | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ArchitectureQualityRiskAssessmentLean | ValidationExperimentsDemandDiscovery |
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