Course Objectives
After completing this course, students will be able to:
- Describe the origins of value stream management and key concepts such as flow, value, and delivery Describe what value stream management is, why it’s needed and the business benefits of its practice Describe how lean, agile, DevOps, and ITSM principles contribute to value stream management Identify and describe value streams, where they start and end, and how they interconnect Identify value stream roles and responsibilities Express value streams visually using mapping techniques, define current and target states and hypothesis backlog Write value stream flow and realization optimization hypotheses and experiments Apply metrics such as touch/processing time, wait/idle time, and cycle time to value streams Understand flow metrics and how to access the data to support data
- driven conversations and decisions Examine value realization metrics and aligning to business outcomes, and how to sense and respond to them (outcomes versus outputs) Architect a DevOps toolchain alongside a value stream and data connection points Design a continuous inspection and adaptation approach for organizational evolution
Agenda
- Value stream management’s origins
- Definitions of value stream management
- Flow
- Lean and systems thinking and practices
- Agile, DevOps and other frameworks
- Research and analysis
- What is a value stream?
- Identifying value streams
- Choosing a value stream
- Digital value streams
- Value stream thinking
- Types of maps
- Value stream mapping
- The fuzzy front end
- Artifacts
- 10 steps to value stream mapping
- Mapping and management
- VSM investment case
- Limitations of value stream mapping
- CICD and the DevOps toolchain
- Value stream management processes
- Value stream management platforms
- DevOps tool categories
- Building an end-to-end DevOps toolchain
- Common data model and tools integrations
- The duality of VSM
- Downtime in technology
- Lean, DORA and Flow metrics
- Definition of Done
- Value metrics
- Benefits hypotheses
- Value streams as profit centers
- KPIs and OKRs
- 3 Pillars of Empiricism
- Organizational performance
- Visibility
- When to inspect
- Data and discovery
- Insights and trends
- Value stream alignment
- Team types and topologies
- Project to product
- Hierarchy to autonomy
- Target Operating Model
- Value stream people
- Value stream roles
- Value stream funding
- Why now?
- Transitions
- VSM capability matrix
- VSM culture iceberg
- Learning
- Making local discoveries global improvements
- Managing value stream interdependencies
FREE
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Course Type: Instructor Led