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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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
Paper illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-90 min1-2 h30-60 min60-120 min
Participantsdifferent
1-63-82-104-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListNorth Star metric, Input metric tree, Measurement cadenceDACI Matrix, Decision Owner, Decision LogDecision Frame, Decision Question, Criteria List, Evidence Plan
Tagsno overlap
DecisionTreeOptions
GrowthMetricsAlignmentRetention
DecisionRolesGovernanceAlignment
Decision framingAlignmentCriteriaOptions
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