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Criterion
A paper-based illustration representing Kano Model with its core stages and visible working result.
Product Discovery
Kano Model
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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
MediumMediumHigh
Timedifferent
1-2 Tage1-3 h30-90 min Setup, danach laufend
Participantsdifferent
10-504-101-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Kano Matrix, Feature Classes, Priority ThemesCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
SatisfactionPrioritizationCustomer
LeanFlowWasteDelivery
ForecastingFlowDelivery
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