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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Purposedifferent
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.GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.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
HighMediumLowMedium
Timedifferent
1-4 Wochen1-3 h30-60 min90-180 min initial, dann laufend
Participantsdifferent
1-62-82-63-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryGap Matrix, Action Plan, Risk NotesCounter Metric List, Guardrail DefinitionsKPI Tree, Owner List
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
StrategyAnalysisPlanning
MetricsMeasurementStrategyExperiments
MetricsStrategyAlignmentMeasurement
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