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Criterion
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.
Complexitydifferent
LowMediumHighMedium
Timedifferent
30-60 min60-120 min1-4 Wochen1-2 h
Participantsdifferent
2-103-81-63-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
DACI Matrix, Decision Owner, Decision LogFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryNorth Star metric, Input metric tree, Measurement cadence
Tagsno overlap
DecisionRolesGovernanceAlignment
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
GrowthMetricsAlignmentRetention
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