Value Stream Flow¶
Context¶
This diagram shows the end-to-end delivery flow from idea intake through customer feedback.
It is part of the broader Agile operating model described in:
Related artifacts:
This swimlane represents how work flows from idea to delivered value.
The goal is to visualize wait states, handoffs, and accountability boundaries.
flowchart TB
subgraph Discovery
A[Idea identified] --> B[Problem validation]
B --> C[Outcome defined]
end
subgraph Product
C --> D[Backlog refinement]
D --> E[Prioritization]
end
subgraph Team
E --> F[Ready for development]
F --> G[Active development]
G --> H[Code review]
H --> I[Testing and validation]
end
subgraph Release
I --> J[Deployment]
J --> K[Monitoring and feedback]
end
K --> L[Outcome measurement]
L --> M{Outcome achieved?}
M -- Yes --> N[Scale or iterate]
M -- No --> O[Adjust hypothesis]
O --> B
## Flow Metrics Mapping
Map metrics to value stream stages:
- Lead time: Idea identified to Deployment
- Cycle time: Active development to Testing and validation complete
- Throughput: Completed deployments per time period
- Flow efficiency: Active work time divided by total elapsed time
- Defect escape rate: Issues discovered after Deployment
- Adoption: Outcome measurement stage
Bottleneck Identification¶
Look for:
- Large queues before development.
- Long wait states before deployment.
- Repeated loops between testing and development.
- High rework rate after release.
- Delays between deployment and feedback collection.
Optimization Guidelines¶
- Reduce batch size.
- Limit WIP at development stage.
- Automate testing and deployment.
- Integrate customer feedback early.
- Shorten feedback loop between Deployment and Outcome measurement.
- Remove approval gates that do not reduce risk.
Value stream optimization should prioritize system-level flow over local efficiency.