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Criterion
Paper illustration of Product Kata with its method-specific working model.
Product Discovery
Product Kata
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
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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
1-2 Wochen je Loop1-2 h Setup, laufend1-2 Wochen1-4 Wochen
Participantsdifferent
3-102-61-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Direction, Current metric, Target metric, Experiment note, Learning reportOpportunity Solution Tree, Experiment Backlog, Learning LogExperiment card, Result summary, Next betExperiment results, Decision log, Learning summary
Tagsno overlap
OutcomesDiscoveryLearningIterationCoaching
DiscoveryOutcomesExperimentsOpportunity
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
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