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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Purposedifferent
For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
MediumHighMediumLow
Timedifferent
1-3 h1-4 Wochen45-60 min30-60 min
Participantsdifferent
3-81-62-82-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk rankingCounter Metric List, Guardrail Definitions
Tagsno overlap
FlowMeasurementConstraints
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
MetricsMeasurementStrategyExperiments
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