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| Criterion |  UX Research Customer Journey Mapping |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |
|---|---|---|---|
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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 2-4 h | 30-90 min Setup, danach laufend | laufend |
Participantsdifferent | 4-10 | 1-8 | 2-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Journey Map, Pain-point List, Opportunity Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | JourneyServiceService design | ForecastingFlowDelivery | EstimationForecastingFlow |
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