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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.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
MediumMediumHighLow
Timedifferent
45-60 min1-5 TageSeveral meetings plus preparation and analysis; total effort depends on scope30-60 min
Participantsdifferent
2-8NutzertrafficEvaluation team, architects, and relevant stakeholders1-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Assumption map, Test backlog, Risk rankingClick Data, Interest Signal, Learning DecisionPrioritized 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
AssumptionsRiskExperimentsValidation
ValidationExperimentsDemandDiscovery
ArchitectureQualityRiskTradeoffsStakeholders
ExperimentsValidationDiscoveryHypothesis
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