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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 of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
45-90 min2–4 h review as a planning range; preparation and evaluation additionalStunden bis wenige Tage45-60 min
Participantsdifferent
1-6Designers, developers as users, and facilitation1-42-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
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 decisionAssumption map, Test backlog, Risk ranking
Tagsno overlap
StartupLeanAssumptionsBusiness model
ArchitectureEngineeringFeedbackValidationTasks
ValidationDemandMVP
AssumptionsRiskExperimentsValidation
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