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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
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
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
Wochen bis Monate je Lernzyklus2–4 h review as a planning range; preparation and evaluation additional25-40 min45-75 min
Participantsdifferent
2-8Designers, developers as users, and facilitation1-52-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLearning Card with evidence and next actionTest Matrix, Test Plan
Tags1 shared
LeanStartupValidationMVP
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryOptions
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