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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Ideal Days.
Agile
Ideal Days
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.When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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
MediumLowMedium
Timedifferent
1-3 h Setup, laufend15-60 minlaufend
Participantsdifferent
12-92-12
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveIdeal Day Estimates, Assumption Notes, Capacity CaveatsThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
KnowledgeProductivityOrganization
EstimationEffortAgile
EstimationForecastingFlow
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Often compared together

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

Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting