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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
Paper illustration for DACI
Decision Making
DACI
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
45-60 min1-2 h30-60 min1-4 Wochen
Participantsdifferent
2-83-82-101-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingNorth Star metric, Input metric tree, Measurement cadenceDACI Matrix, Decision Owner, Decision LogExperiment results, Decision log, Learning summary
Tagsno overlap
AssumptionsRiskExperimentsValidation
GrowthMetricsAlignmentRetention
DecisionRolesGovernanceAlignment
ExperimentsGrowthAnalyticsValidation
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