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Criterion
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Purposedifferent
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list.
Complexitydifferent
MediumLowLowMedium
Timedifferent
1-2 h45-90 min1-2 h90-180 min initial, dann laufend
Participantsdifferent
3-82-82-83-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
North Star metric, Input metric tree, Measurement cadenceAssumption List, Critical Assumptions, Learning PlanDIBB document, Belief list, Bet list, Learning reportKPI Tree, Owner List
Tagsno overlap
GrowthMetricsAlignmentRetention
AssumptionsRiskDecisionDiscovery
StrategyDecisionAssumptionsHypothesis
MetricsStrategyAlignmentMeasurement
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