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Criterion
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
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
Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.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
LowHighLowLow
Timedifferent
30 min Setup, dann laufend1-4 Wochen30-60 min1-5 Tage
Participantsdifferent
1-3 maintaining, briefing for everyone1-62-6Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
RAID Log, Status Report SourceExperiment results, Decision log, Learning summaryCounter Metric List, Guardrail DefinitionsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RiskTrackingStakeholdersGovernance
ExperimentsGrowthAnalyticsValidation
MetricsMeasurementStrategyExperiments
ValidationExperimentsDemandGrowth
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