Value stream mapping
Value stream mapping is a technique for representing and analyzing the flow of work and information through a process to identify waste and opportunities for improvement.
Architecture Modernization: Socio-technical alignment of software, strategy, and structure
Value stream mapping is a technique for visualizing activities, dependencies, delays, and flows across the delivery of value.
- How it is used
- Visualizes delivery steps and bottlenecks to support conversations about organizational improvement and modernization.
- How deep it goes
- Explains what the visualization reveals and how to discuss obstacles, but does not prescribe mapping steps or measurement rules.
- Examples
- Uses broadband customer self-fulfillment, delivery bottlenecks, and a delayed SEO request to make flow and its consequences tangible.
- What you can do after
- Practice/perform collaborative investigation of delivery bottlenecks and use the resulting map to communicate a modernization obstacle.
Automating API Delivery
Value stream mapping is a lean analysis technique that visualizes the flow of work and information through a process to identify waste and improvement opportunities.
- How it is used
- Visualizes API delivery work to identify waste and guide APIOps improvement choices.
- How deep it goes
- Walks through process-level mapping, queues, and a TT/LT time ladder; defers broader applications of VSM.
- Examples
- Uses Jira ticket backlogs and a completed current-conditions map with process metrics.
- What you can do after
- Practice/perform it by mapping API delivery, marking queues and time metrics, and identifying activities to eliminate or improve.
Read how Automating API Delivery explains value stream mapping →
Related concepts
- onboardinguses · Onboarding is the process of helping a newcomer become familiar with and able to participate in a product, team, organization, or system.
- process mapused by · A process map is a visual representation of the activities, queues, delays, and handoffs in a process.
- platform engineeringmeasures · Platform engineering is the discipline of designing and operating internal platforms that provide software teams with reusable, self-service capabilities and delivery workflows.
- memory bounduses · A memory-bound workload is one whose performance is limited primarily by the rate of accessing or transferring data rather than by computational throughput.
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