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Criterion
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
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.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.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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumLowLowLow
Timedifferent
1-4 Wochen20-45 min1-2 h20-35 min
Participantsdifferent
3-10 KundenBased on research question2-81-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Concierge Learnings, Service Blueprint, MVP RisksContent groups, Label set, IA hypothesesDIBB document, Belief list, Bet list, Learning reportTest Card with a pre-set threshold
Tagsno overlap
MVPValidationServiceDiscovery
Information architectureNavigationStructure
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
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