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Criterion
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 of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.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
LowMediumMediumMedium
Timedifferent
25-40 min3–4 h for initial assessment; preparation and deeper analysis additional45-75 min1-5 Tage
Participantsdifferent
1-51 or a small team; particularly suitable for 3–4 people2-8Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Learning 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 checksTest Matrix, Test PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsValidationDiscoveryLearning
ArchitectureQualityRiskAssessmentLean
ExperimentsValidationDiscoveryOptions
ValidationExperimentsDemandDiscovery
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