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Criterion
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
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
Purposedifferent
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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-2 Wochen30-60 minWochen bis Monate je Goal1-4 Wochen
Participantsdifferent
1-62-63-101-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Experiment card, Result summary, Next betCounter Metric List, Guardrail DefinitionsGoals, Idea bank, Step-project list, Tasks, Learning reportsExperiment results, Decision log, Learning summary
Tags1 shared
MarketingGrowthExperimentsLearning
MetricsMeasurementStrategyExperiments
RoadmapOutcomesPlanningExperiments
ExperimentsGrowthAnalyticsValidation
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