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Criterion
Paper illustration of a four-quadrant grid with tasks sorted by importance and urgency and translated into actions.
Decision Making
Eisenhower Matrix
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped.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.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 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
LowMediumHighMedium
Timedifferent
15-30 min1-2 Wochen pro Iteration1-4 Wochen1-5 Tage
Participantsdifferent
1-62-61-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Eisenhower Matrix, Action List, Delegation NotesPrioritized Assumption List, Test Plan, Results ReportExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
PrioritizationFocusTasks
ExperimentsValidationDiscoveryAssumptions
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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