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Criterion
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
For an incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable.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.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
MediumHighLow
Timedifferent
60-180 min1-4 Wochen1-2 h
Participantsdifferent
3-106-30 Experten2-8
Formatdifferent
Workshop + asyncAsyncWorkshop + async
Outputdifferent
Incident Timeline, Evidence Log, Delay Analysis, Improvement ActionsExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
IncidentTimelineSite Reliability Engineering
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis