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Criterion
Paper illustration for Contextual Inquiry.
UX Research
Contextual Inquiry
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
When work processes are known only from accounts and the real context stays hidden, Contextual Inquiry makes behavior at the workplace visible. Observation and follow-up questions together show how people actually work, get interrupted, and improvise.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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
MediumHighMediumHigh
Timedifferent
1-3 Wochen1-4 h or multiple rounds30-90 min1-4 Wochen
Participantsdifferent
4-12 Beobachtungen4-12 Experten3-126-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Field Notes, Workflow Insights, Pain PointsEstimate Range, Assumption Log, Expert Consensus NotesAffinity Size Map, Grouped Estimates, Unclear ItemsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
UX researchObservationContext
EstimationExpertsForecasting
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
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