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Criterion
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowHighLowMedium
Timedifferent
15-30 min1-4 Wochen1-5 Tage1-5 Tage
Participantsdifferent
2-61-6NutzertrafficNutzertraffic
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Root cause notes, CountermeasuresExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tagsno overlap
Root causeIncidentLeanProblem solving
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
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