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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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
LowLowHighHigh
Timedifferent
5-20 min1-5 Tage1-4 Wochen1-4 Wochen
Participantsdifferent
3-20Nutzertraffic6-30 Experten1-6
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsInterest Metrics, Conversion Signal, Learning NoteExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationEffortRisk
ValidationExperimentsDemandGrowth
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
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