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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
MediumHighLowMedium
Timedifferent
45-60 min1-4 Wochen15-30 min1-4 h
Participantsdifferent
2-81-62-63-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Assumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summaryRoot cause notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
Root causeIncidentLeanProblem solving
Root causeProblem solvingQualityIncident
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