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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
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 Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
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 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 systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.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 Goal1-2 h Setup, laufend30-240 min1-5 Tage
Participantsdifferent
3-102-61-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsOpportunity Solution Tree, Experiment Backlog, Learning LogHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
RoadmapOutcomesPlanningExperiments
DiscoveryOutcomesExperimentsOpportunity
TroubleshootingProblem solvingDiagnosis
ValidationExperimentsDemandDiscovery
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