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
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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
MediumHighHighHigh
Timedifferent
1-3 h2-6 h2-6 h1-4 Wochen
Participantsdifferent
1-53-83-101-6
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesCurrent Reality Tree, Core Problems, Intervention IdeasEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
Systems thinkingRoot causeConstraintsCausality
CausalityIncidentRoot causeTimeline
ExperimentsGrowthAnalyticsValidation
Add more methods