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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for DACI
Decision Making
DACI
Purposedifferent
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.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 Wochen1-3 Wochen vom Draft bis zur Entscheidung1-5 Tage30-60 min
Participantsdifferent
1-63-20 ReviewerNutzertraffic2-10
Formatdifferent
AsyncAsyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryRFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsInterest Metrics, Conversion Signal, Learning NoteDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
ArchitectureDecisionAsyncGovernance
ValidationExperimentsDemandGrowth
DecisionRolesGovernanceAlignment
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