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 Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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
HighMediumMediumHigh
Timedifferent
2-6 h1-3 h60-120 min1-4 Wochen
Participantsdifferent
3-101-53-81-6
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
FMEA Table, Risk Priority, Mitigation ActionsFunnel report, Drop-off analysis, Optimization hypothesesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
RiskQualityOperationsRoot cause
AnalyticsConversionGrowth
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
Add more methods