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Criterion
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration for Fake Door Test
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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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
MediumLowHighMedium
Timedifferent
3–4 h for initial assessment; preparation and deeper analysis additional25-40 minSeveral meetings plus preparation and analysis; total effort depends on scope1-5 Tage
Participantsdifferent
1 or a small team; particularly suitable for 3–4 people1-5Evaluation team, architects, and relevant stakeholdersNutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
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 checksLearning Card with evidence and next actionPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsClick Data, Interest Signal, Learning Decision
Tagsno overlap
ArchitectureQualityRiskAssessmentLean
ExperimentsValidationDiscoveryLearning
ArchitectureQualityRiskTradeoffsStakeholders
ValidationExperimentsDemandDiscovery
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