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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 a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration for Fake Door Test
Product Discovery
Fake Door 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.When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
Wochen bis Monate je Goal1-4 Wochen1-2 h Setup, laufend1-5 Tage
Participantsdifferent
3-101-62-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsExperiment results, Decision log, Learning summaryOpportunity Solution Tree, Experiment Backlog, Learning LogClick Data, Interest Signal, Learning Decision
Tags1 shared
RoadmapOutcomesPlanningExperiments
ExperimentsGrowthAnalyticsValidation
DiscoveryOutcomesExperimentsOpportunity
ValidationExperimentsDemandDiscovery
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