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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
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.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.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
1-3 h1-3 h1-3 Wochen vom Draft bis zur Entscheidung1-4 Wochen
Participantsdifferent
1-51-83-20 Reviewer1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesArgument Map, Evidence Gaps, Decision RationaleRFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
SensemakingDecisionRationale
ArchitectureDecisionAsyncGovernance
ExperimentsGrowthAnalyticsValidation
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