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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Purposedifferent
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.The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1-4 WochenMultiple workshops over several weeks45-60 min45-90 min
Participantsdifferent
1-62-82-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryHooked loop, Trigger map, Reward design, Ethics checkAssumption map, Test backlog, Risk rankingAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
GrowthBehaviorRetention
AssumptionsRiskExperimentsValidation
AssumptionsRiskDecisionDiscovery
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