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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
Purposedifferent
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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.
Complexitydifferent
HighLowMedium
Timedifferent
1-4 Wochen30-90 min1-3 Wochen vom Draft bis zur Entscheidung
Participantsdifferent
6-30 Experten2-83-20 Reviewer
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesRFC document, Reviewer comments, Decision rationale, Follow-up ADR or tickets
Tags1 shared
ForecastingExpertsDecisionStrategy
ConstraintsDecisionPlanningOptions
ArchitectureDecisionAsyncGovernance
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Often compared together

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

Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration of Decision Rights Mapping with its method-specific working model.
Decision Making
Decision Rights Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree