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Criterion
Paper illustration of a Lean Canvas with nine fields, notes, and one highlighted learning risk.
Product Strategy
Lean Canvas
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable.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.Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.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
MediumMediumLowMedium
Timedifferent
45-90 min2–4 h review as a planning range; preparation and evaluation additionalStunden bis wenige Tage1-5 Tage
Participantsdifferent
1-6Designers, developers as users, and facilitation1-4Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Lean Canvas, Core Assumptions, Experiment BacklogPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPretotyping sketch, Test setup, Conversion data, Go or no-go decisionClick Data, Interest Signal, Learning Decision
Tagsno overlap
StartupLeanAssumptionsBusiness model
ArchitectureEngineeringFeedbackValidationTasks
ValidationDemandMVP
ValidationExperimentsDemandDiscovery
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