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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Planning Poker.
Agile
Planning Poker
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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 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
MediumLowMediumHigh
Timedifferent
30-90 min2-5 min je Item1-3 h1-4 Wochen
Participantsdifferent
3-123-91-51-6
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsRelative Estimates, Assumption Notes, Split CandidatesFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationBacklogRelative sizing
EstimationAgileRelative sizingTeam
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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