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Criterion
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.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
MediumMediumLowHigh
Timedifferent
Wochen bis Monate je Goal60-120 min30-60 min1-4 Wochen
Participantsdifferent
3-103-81-51-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Goals, Idea bank, Step-project list, Tasks, Learning reportsFlywheel Map, Friction Points, Growth Levers, Experiment BacklogCompleted Experiment Canvas, Success MetricExperiment results, Decision log, Learning summary
Tagsno overlap
RoadmapOutcomesPlanningExperiments
GrowthRetentionConversion
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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