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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration of Goal Question Metric with its method-specific working model.
Engineering
Goal Question Metric
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.Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs.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
MediumMediumHigh
Timedifferent
15-45 min90-180 min1-4 Wochen
Participantsdifferent
1-83-61-6
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
PERT Estimate, Expected Value, Risk NotesGQM Table, Metric ProfilesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationUncertaintyRisk
MetricsMeasurementEngineeringAlignment
ExperimentsGrowthAnalyticsValidation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric