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Criterion
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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.
Complexitydifferent
MediumLowHighLow
Timedifferent
45-75 min25-40 minSeveral meetings plus preparation and analysis; total effort depends on scope30-60 min
Participantsdifferent
2-81-5Evaluation team, architects, and relevant stakeholders1-5
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Test Matrix, Test PlanLearning Card with evidence and next actionPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsCompleted Experiment Canvas, Success Metric
Tagsno overlap
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryLearning
ArchitectureQualityRiskTradeoffsStakeholders
ExperimentsValidationDiscoveryHypothesis
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