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Criterion
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
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 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 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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumHighLowLow
Timedifferent
1-4 Wochen1-4 Wochen1-2 h20-35 min
Participantsdifferent
3-10 Kunden6-30 Experten2-81-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Concierge Learnings, Service Blueprint, MVP RisksExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportTest Card with a pre-set threshold
Tagsno overlap
MVPValidationServiceDiscovery
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
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