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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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.When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution.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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h Setup, laufend1-4 Wochen1-2 h1-2 Wochen pro Iteration
Participantsdifferent
13-10 Kunden2-82-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveConcierge Learnings, Service Blueprint, MVP RisksDIBB document, Belief list, Bet list, Learning reportPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
KnowledgeProductivityOrganization
MVPValidationServiceDiscovery
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryAssumptions
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