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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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 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
LowMediumMediumHigh
Timedifferent
5-20 min30-90 min1-3 h1-4 Wochen
Participantsdifferent
3-203-121-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsAffinity Size Map, Grouped Estimates, Unclear ItemsFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationEffortRisk
EstimationBacklogRelative sizing
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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