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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
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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 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.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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
MediumHighHighLow
Timedifferent
Wochen bis Monate je Goal1-4 WochenMehrere Wochen1-5 Tage
Participantsdifferent
3-101-62-6 researchers plus sampleNutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsExperiment results, Decision log, Learning summaryDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RoadmapOutcomesPlanningExperiments
ExperimentsGrowthAnalyticsValidation
OutcomesInnovationResearchQuantitative
ValidationExperimentsDemandGrowth
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