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Criterion
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Purposedifferent
When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought.When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 Wochen1-2 Tage60-120 min20-45 min
Participantsdifferent
5-12 InterviewsBased on research question3-6Based on research question
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Job Stories, Outcome Statements, Opportunity ListFindability Metrics, Path Analysis, Revised IAOpportunity Score Table, Top OutcomesContent groups, Label set, IA hypotheses
Tagsno overlap
CustomerOutcomesNeeds
Information architectureNavigationFindability
PrioritizationDiscoveryOutcomesNeeds
Information architectureNavigationStructure
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