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Criterion
Paper illustration of Double Diamond with its method-specific working model.
Innovation
Double Diamond
Paper illustration for Standard Work Analysis.
Operations
Standard Work Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement.When the same task is done differently depending on the person, the method exposes the reliable core. It creates comparability without unnecessarily choking off needed latitude.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
Wochen bis Monate1-3 h30-90 min Setup, danach laufend
Participantsdifferent
3-122-61-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Problem Statement, Solution Options, Prototypes, Deliverables per PhaseStandard Work Sheet, Deviation List, Improved Standard, Training NeedsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ProcessDivergenceInnovation
LeanProcessQuality
ForecastingFlowDelivery
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Often compared together

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

Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)