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Criterion
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment.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
MediumHigh
Timedifferent
2-3 h30-90 min Setup, danach laufend
Participantsdifferent
3-81-8
Formatsame
Workshop + asyncWorkshop + async
Outputdifferent
Completed Lean UX Canvas, Hypothesis list, First experimentForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
CanvasHypothesisOutcomesDiscovery
ForecastingFlowDelivery
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas