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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.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.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
MediumMediumLowHigh
Timedifferent
Wochen bis Monate je Goal1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
3-102-8Nutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsContext Map, Integration Patterns, Boundary NotesInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RoadmapOutcomesPlanningExperiments
Domain-Driven DesignBoundariesStrategy
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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