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Criterion
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.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.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.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
MediumHighMediumLow
Timedifferent
1-3 Wochen vom Draft bis zur Entscheidung1-4 Wochen1-5 Tage30-60 min
Participantsdifferent
3-20 Reviewer1-6Nutzertraffic1-5
Formatdifferent
AsyncAsyncAsyncWorkshop + async
Outputdifferent
RFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning DecisionCompleted Experiment Canvas, Success Metric
Tagsno overlap
ArchitectureDecisionAsyncGovernance
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryHypothesis
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