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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Paper illustration of Goal Question Metric with its method-specific working model.
Engineering
Goal Question Metric
Purposedifferent
Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.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 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.Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs.
Complexitydifferent
LowHighMediumMedium
Timedifferent
1-2 h1-4 Wochen90-180 min initial, dann laufend90-180 min
Participantsdifferent
2-81-63-83-6
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeExperiment results, Decision log, Learning summaryKPI Tree, Owner ListGQM Table, Metric Profiles
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
ExperimentsGrowthAnalyticsValidation
MetricsStrategyAlignmentMeasurement
MetricsMeasurementEngineeringAlignment
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