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| Criterion |  UX Research Customer Journey Mapping |  Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | When a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Medium | High |
Timedifferent | 2-4 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 1-8 |
Formatdifferent | Workshop | Workshop + async |
Outputdifferent | Journey Map, Pain-point List, Opportunity Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | JourneyServiceService design | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
