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Criterion
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.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.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
HighHighMediumMedium
Timedifferent
1-6 WochenPreparation, scenario analysis, and findings review; effort depends on scope45-75 min1-5 Tage
Participantsdifferent
4-10Architecture experts and stakeholders for scenarios and weighting2-8Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesTest Matrix, Test PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
QualityProblem solvingRoot cause
ArchitectureChangeAnalysisComparisonQuality
ExperimentsValidationDiscoveryOptions
ValidationExperimentsDemandDiscovery
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