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
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumHighHighLow
Timedifferent
Ongoing1-4 Wochen2-6 h1-2 h
Participantsdifferent
2-206-30 Experten3-102-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Chat Transcript, Action Log, AutomationsExpert Forecast, Consensus Range, Assumption NotesEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
CollaborationEngineeringIncident
ForecastingExpertsDecisionStrategy
CausalityIncidentRoot causeTimeline
StrategyDecisionAssumptionsHypothesis
Add more methods