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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
Paper illustration of a team retrospective with three separate Start, Stop, and Continue areas and a shared action list.
Agile
Start Stop Continue
Purposedifferent
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.When a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.When a team wants to deliberately adjust its working behavior, it makes habits visible and assessable. It focuses on concrete changes instead of diffuse mood.
Complexitydifferent
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufend30-90 min45–75 min30-60 min
Participantsdifferent
1-83-12Team members involved3-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationPostmortem Doc, Action Items, Timeline4Ls Board, Learning Themes, Improvement ActionsStart Stop Continue Board, Improvement Actions
Tagsno overlap
ForecastingFlowDelivery
Site Reliability EngineeringIncidentLearningReliability
RetrospectiveLearningReflectionTeam
RetrospectiveImprovementTeamReflection
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