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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a branching impact map with a Why goal at the root, actor circles, How behavior changes and What options.
Product Strategy
Impact Mapping
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
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.When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen45-90 min30-60 minWochen bis Monate je Goal
Participantsdifferent
1-63-81-53-10
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryImpact Map, Outcome Hypotheses, Delivery OptionsCompleted Experiment Canvas, Success MetricGoals, Idea bank, Step-project list, Tasks, Learning reports
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
OutcomesStrategyBehaviorPlanning
ExperimentsValidationDiscoveryHypothesis
RoadmapOutcomesPlanningExperiments
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