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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for NoEstimates.
Agile
NoEstimates
Purposedifferent
The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work.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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.
Complexitydifferent
MediumHighMedium
Timedifferent
1-3 h Setup, laufend1-4 h or multiple roundslaufend
Participantsdifferent
14-12 Experten2-12
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveEstimate Range, Assumption Log, Expert Consensus NotesThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
KnowledgeProductivityOrganization
EstimationExpertsForecasting
EstimationForecastingFlow
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation