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Criterion
Paper illustration for DACI
Decision Making
DACI
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.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.For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks.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.
Complexitydifferent
LowHighMediumLow
Timedifferent
30-60 min1-4 Wochen1-2 h Setup, laufend1-5 Tage
Participantsdifferent
2-101-62-8Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
DACI Matrix, Decision Owner, Decision LogExperiment results, Decision log, Learning summaryAARRR funnel, Metric baseline, Experiment backlogInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
DecisionRolesGovernanceAlignment
ExperimentsGrowthAnalyticsValidation
GrowthMetricsExperiments
ValidationExperimentsDemandGrowth
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