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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 Wochen5-20 min30-90 min1-5 Tage
Participantsdifferent
1-63-203-12Nutzertraffic
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryEffort Heatmap, Risk Signals, Discussion TargetsBucketed Backlog, Relative Estimates, Split CandidatesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
EstimationEffortRisk
EstimationBacklogRelative sizing
ValidationExperimentsDemandGrowth
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