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Criterion
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
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
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.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captures results as a DIBB document, belief list, bet list, and learning report.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-3 Tage1-4 Wochen1-2 h15-60 min je Zyklus
Participantsdifferent
Internes Team6-30 Experten2-81-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
ResearchCustomerSynthesis
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
DecisionChangeLearningStrategy
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