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Criterion
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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
Purposedifferent
For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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.
Complexitydifferent
HighMediumHigh
Timedifferent
2-6 h45-60 min1-4 Wochen
Participantsdifferent
3-102-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
Event Timeline, Causal Factor Chart, Cause List, Corrective ActionsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
CausalityIncidentRoot causeTimeline
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing