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Selected:LASR (Lightweight Approach for Software Reviews)Hypothesis Prioritization Canvas Opportunity Solution Tree

Criterion	Architecture LASR (Lightweight Approach for Software Reviews)	Product Discovery Hypothesis Prioritization Canvas	Product Discovery Opportunity Solution Tree
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.	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.	When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.
Complexitysame	Medium	Medium	Medium
Timedifferent	3–4 h for initial assessment; preparation and deeper analysis additional	60-90 min	1-2 h Setup, laufend
Participantsdifferent	1 or a small team; particularly suitable for 3–4 people	3-8	2-6
Formatdifferent	Workshop + async	Workshop	Workshop + 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	Prioritization Canvas, Hypothesis Backlog	Opportunity Solution Tree, Experiment Backlog, Learning Log
Tagsno overlap	ArchitectureQualityRiskAssessmentLean	ExperimentsPrioritizationDiscoveryHypothesis	DiscoveryOutcomesExperimentsOpportunity