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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration for Dot Estimation.
Facilitation
Dot 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
On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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 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
15-45 min5-20 min1-3 h1-4 Wochen
Participantsdifferent
1-83-201-51-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
PERT Estimate, Expected Value, Risk NotesEffort Heatmap, Risk Signals, Discussion TargetsFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationUncertaintyRisk
EstimationEffortRisk
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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