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 NoEstimates.
Agile
NoEstimates
Runbook workspace showing the question, observations, and next decision.
Operations
Runbook
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
Purposedifferent
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.For recurring operational tasks or incidents, the method keeps solid action logic ready. It reduces uncertainty when time pressure, role changes, or rare situations demand fast access.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.During an acute incident with several people involved, the method creates a clear leadership and communication structure. It reduces chaos when fast coordination and clean situational awareness are both needed at once.
Complexitydifferent
MediumLowHighMedium
Timedifferent
laufend20-60 min30-90 min Setup, danach laufendAs needed
Participantsdifferent
2-121-41-84-15
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesRunbook, Checklist, Escalation PathForecast Percentiles, Throughput Dataset, Risk CommunicationIncident Log, Action Tracker, Stakeholder Updates
Tagsno overlap
EstimationForecastingFlow
OperationsReliabilityDocumentation
ForecastingFlowDelivery
IncidentOperationsReliability
Add more methods