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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 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 only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumMediumHighLow
Timedifferent
Wochen bis Monate je Goal1-2 Wochen1-4 Wochen1-5 Tage
Participantsdifferent
3-101-61-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsExperiment card, Result summary, Next betExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tags1 shared
RoadmapOutcomesPlanningExperiments
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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