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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work.Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.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.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.
Complexitydifferent
MediumLowLowHigh
Timedifferent
1-3 h Setup, laufend1-2 h1-2 h1-4 Wochen
Participantsdifferent
12-82-86-30 Experten
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDomain Story, Glossary Notes, Process NarrativeDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
KnowledgeProductivityOrganization
KnowledgeDomain-Driven DesignProcess
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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