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Criterion
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 Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Purposedifferent
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 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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-2 h Setup, laufend30-90 min30-90 minWochen bis Monate je Goal
Participantsdifferent
2-63-123-123-10
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Opportunity Solution Tree, Experiment Backlog, Learning LogAffinity Size Map, Grouped Estimates, Unclear ItemsBucketed Backlog, Relative Estimates, Split CandidatesGoals, Idea bank, Step-project list, Tasks, Learning reports
Tagsno overlap
DiscoveryOutcomesExperimentsOpportunity
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
RoadmapOutcomesPlanningExperiments
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