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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Purposedifferent
For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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.
Complexitydifferent
LowMediumMedium
Timedifferent
45-120 min2–4 h review as a planning range; preparation and evaluation additional1-3 h
Participantsdifferent
2-8Designers, developers as users, and facilitation4-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
WasteLeanProcess improvement
ArchitectureEngineeringFeedbackValidationTasks
LeanFlowWasteDelivery
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Often compared together

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

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)
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting