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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumHighLowLow
Timedifferent
laufend1-4 Wochen30-60 min1-5 Tage
Participantsdifferent
2-121-62-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesExperiment results, Decision log, Learning summaryCounter Metric List, Guardrail DefinitionsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
EstimationForecastingFlow
ExperimentsGrowthAnalyticsValidation
MetricsMeasurementStrategyExperiments
ValidationExperimentsDemandGrowth
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