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Criterion
Quality Attribute Workshop workspace showing the question, observations, and next decision.
Architecture
Quality Attribute Workshop
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
Purposedifferent
A Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties.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.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.
Complexitydifferent
MediumMediumLow
Timedifferent
2-4 hWochen bis Monate je LernzyklusStunden bis wenige Tage
Participantsdifferent
5-152-81-4
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Quality Scenarios, Priority List, Architecture ConcernsHypothesis list, MVPs, Learning reports, Pivot or persevere decisionPretotyping sketch, Test setup, Conversion data, Go or no-go decision
Tagsno overlap
RequirementsArchitectureWorkshop
LeanStartupValidationMVP
ValidationDemandMVP
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Risk Storming.
Architecture
Risk Storming
Paper illustration of Five-Minute VC Check with its method-specific working model.
Business Strategy
5-Minuten VC-Check
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of a Lean Canvas with nine fields, notes, and one highlighted learning risk.
Product Strategy
Lean Canvas