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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
Paper illustration for Flywheel.
Growth
Flywheel
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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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
MediumMediumMediumHigh
Timedifferent
Wochen bis Monate je Goal1-2 h60-120 min1-4 Wochen
Participantsdifferent
3-103-83-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsNorth Star metric, Input metric tree, Measurement cadenceFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
RoadmapOutcomesPlanningExperiments
GrowthMetricsAlignmentRetention
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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