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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Bucket System.
Agile
Bucket System
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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.
Complexitydifferent
HighHighMedium
Timedifferent
1-4 Wochen1-4 h or multiple rounds30-90 min
Participantsdifferent
1-64-12 Experten3-12
Formatdifferent
AsyncWorkshop + asyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryEstimate Range, Assumption Log, Expert Consensus NotesBucketed Backlog, Relative Estimates, Split Candidates
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
EstimationExpertsForecasting
EstimationBacklogRelative sizing
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Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method