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Criterion
Paper illustration for Landing Page Test.
Product Discovery
Landing Page Test
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
1-5 TageSeveral meetings plus preparation and analysis; total effort depends on scope1-2 Wochen1-4 Wochen
Participantsdifferent
NutzertrafficEvaluation team, architects, and relevant stakeholders1-61-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Landing Page, Conversion Data, Learning SummaryPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsExperiment card, Result summary, Next betExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationConversionMarketing
ArchitectureQualityRiskTradeoffsStakeholders
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
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