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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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.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 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
MediumHighHighLow
Timedifferent
Wochen bis Monate je GoalMehrere Wochen1-4 Wochen1-5 Tage
Participantsdifferent
3-102-6 researchers plus sample1-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RoadmapOutcomesPlanningExperiments
OutcomesInnovationResearchQuantitative
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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