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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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.
Complexitydifferent
MediumHighMediumLow
Timedifferent
Wochen bis Monate je Goal1-4 Wochen1-2 Wochen30-60 min
Participantsdifferent
3-101-61-61-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next betCompleted Experiment Canvas, Success Metric
Tags1 shared
RoadmapOutcomesPlanningExperiments
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
ExperimentsValidationDiscoveryHypothesis
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