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Criterion
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Diary Study.
UX Research
Diary Study
Purposedifferent
Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory.
Complexitydifferent
MediumLowMedium
Timedifferent
2-6 h45-90 min1-4 Wochen
Participantsdifferent
2-82-85-20
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
Event Model, UI Flow, Commands, Read ModelsAssumption List, Critical Assumptions, Learning PlanDiary Entries, Longitudinal Patterns, Experience Timeline
Tagsno overlap
EventsBlueprintDomain-Driven DesignBehavior
AssumptionsRiskDecisionDiscovery
UX researchTrackingBehavior
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Often compared together

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

EventStorming on a long working surface: colored event cards form a business flow, friction points are marked, and a boundary separates different areas of responsibility.
Domain Modeling
EventStorming
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem