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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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 for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional25-40 min3–4 h for initial assessment; preparation and deeper analysis additional1-5 Tage
Participantsdifferent
Designers, developers as users, and facilitation1-51 or a small team; particularly suitable for 3–4 peopleNutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLearning Card with evidence and next actionLean 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 checksClick Data, Interest Signal, Learning Decision
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryLearning
ArchitectureQualityRiskAssessmentLean
ValidationExperimentsDemandDiscovery
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