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Criterion
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Paper illustration for Diary Study.
UX Research
Diary Study
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks.When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory.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
1-2 h Setup, laufend1-4 Wochen60-120 min1-4 Wochen
Participantsdifferent
2-85-203-81-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
AARRR funnel, Metric baseline, Experiment backlogDiary Entries, Longitudinal Patterns, Experience TimelineFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthMetricsExperiments
UX researchTrackingBehavior
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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