methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Paper illustration for T-Shirt Sizing.
Agile
T-Shirt Sizing
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When effort only needs to be classified roughly, it makes comparability more important than false precision. It helps sort work quickly into manageable sizes.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.
Complexitydifferent
LowHigh
Timedifferent
15-45 min30-90 min Setup, danach laufend
Participantsdifferent
2-121-8
Formatsame
Workshop + asyncWorkshop + async
Outputdifferent
Size Buckets, Rough Backlog Map, Split CandidatesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationAgileRoadmap
ForecastingFlowDelivery
Add more methods

Often compared together

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

Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile