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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
Wochen bis Monate je Goal30-90 min1-2 h Setup, laufend1-5 Tage
Participantsdifferent
3-103-122-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsAffinity Size Map, Grouped Estimates, Unclear ItemsOpportunity Solution Tree, Experiment Backlog, Learning LogClick Data, Interest Signal, Learning Decision
Tagsno overlap
RoadmapOutcomesPlanningExperiments
EstimationBacklogRelative sizing
DiscoveryOutcomesExperimentsOpportunity
ValidationExperimentsDemandDiscovery
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