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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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
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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.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
Wochen bis Monate je Lernzyklus30-60 min3–4 h for initial assessment; preparation and deeper analysis additional1-5 Tage
Participantsdifferent
2-81-51 or a small team; particularly suitable for 3–4 peopleNutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionCompleted Experiment Canvas, Success MetricLean 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
LeanStartupValidationMVP
ExperimentsValidationDiscoveryHypothesis
ArchitectureQualityRiskAssessmentLean
ValidationExperimentsDemandDiscovery
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