methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
Purposedifferent
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.When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner 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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
60-120 min1-4 Wochen90-180 min initial, dann laufend1-2 h
Participantsdifferent
3-81-63-83-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryKPI Tree, Owner ListNorth Star metric, Input metric tree, Measurement cadence
Tagsno overlap
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
MetricsStrategyAlignmentMeasurement
GrowthMetricsAlignmentRetention
Add more methods