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Criterion
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Purposedifferent
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.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 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
LowMediumHighMedium
Timedifferent
45-90 minMultiple workshops over several weeks1-4 Wochen1-2 Wochen pro Iteration
Participantsdifferent
2-82-81-62-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Assumption List, Critical Assumptions, Learning PlanHooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summaryPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
AssumptionsRiskDecisionDiscovery
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryAssumptions
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