Using DORA Metrics to Accelerate Value Stream Flow

From a talk with Plutora on how DORA (DevOps Research and Assessment) metrics (deployment frequency, lead time, change fail rate and MTTR) can be used to accelerate the flow of work through a value stream.

Transcript

1. Using DORA Metrics to Accelerate Value Stream Flow
2. PAGE 2 We’ll be answering questions at the end, but feel free to add them to the chat/question box at any point during the webinar. Webinar Flow •Why measure •The DORA metrics •Flow insights and acceleration •Value stream management
3. PAGE 3 Why Measure
4. PAGE 4 Key Components of DevOps Ways of Working Culture Automation Lean Measurement Sharing
5. PAGE 5
6. PAGE 6 The DORA Metrics
7. PAGE 7 The Direction of Evolution Lead Time Cycle Time The total elapsed time from the point when a user story enters the backlog, until the time it is completed – including the time spent waiting in a backlog. The time it takes for a story to go from being “In progress” to Done.
8. PAGE 8 Organizational Performance
9. PAGE 9 Looking into the DevOps toolchain ecosystem Reporting on DORA 4 Key DevOps Metrics Metric Deployment Frequency Lead Time Change Fail Rate MTTR Tool Categories Involved CI Server and / or ARA Backlog and CI Tool CI Tool or ARA Service Desk Example Tools
10. PAGE 10
11. PAGE 11 Flow Insights and Acceleration
12. PAGE 12 Using Value Stream Mapping to Measure Flow Touch time + wait time = CYCLE TIME
13. PAGE 13 Time to value Flow: How work moves through a value stream IDEATION Where product requirements are collected and refined. REALISATION Where value based feedback is found and used. INTEGRATION Where product is composed and integrated. OPERATION Where the product is live and used by customers. VALIDATION Where product is tested functionally and non-functionally. The Value Loop FLOW METRICS • Velocity • Distribution • Time • Efficiency • Load
14. PAGE 14 How do you estimate it and how do you measure when it has been realized? - NPS/eNPS - App reviews - CX/EX - Conversions - Usage - Product revenue - Health of shopping cart - Click-throughs - Cost:value What is Value?
15. PAGE 15 Optimizing time to value Measuring Flow Metric Deployment Frequency Lead Time Change Fail Rate MTTR Cycle Time Tool Categories Involved CI Server and / or ARA Backlog and CI Tool CI Tool or ARA Service Desk Value Stream Management Example Tools
16. PAGE 16 Value Stream Management
17. PAGE 17 Optimizing the Release Flow Managing Value Streams A combination of people, process, and technology that maps, optimizes, visualizes, and governs business value flow (including epics, stories, and work items) through heterogeneous enterprise software delivery pipelines. FORRESTER (Value Stream Management Definition)
18. PAGE 18
19. Long term vision Current value stream map ACT CHECK DO PLAN Next target value stream map VALUE STREAM MANAGEMENT 1 2 3 4 improvement kata with scrum
20. VALUE STREAM MANAGEMENT improvement kata with scrum Long term vision Current value stream map ACT CHECK DO PLAN Next target value stream map Sprint 1 2 3 4 OKRs set here Current cycle time discovered and continually measured here Sprint goal set in Sprint Planning aligned with OKR improvement and recorded in Plutora Use data from Plutora in Sprint Review to inspect progress towards Sprint Goal and OKR improvement
21. VSM Imagined: The Plutora Platform DECISION-MAKING & ANALYTICS MANAGEMENT & ORCHESTRATION INTEGRATION & COMMON DATA MODEL Value Stream Mapping Deep Analytics & Comparative Metrics AI-Powered Predictive Insights VALUE STREAM MANAGEMENT PLATFORM Plan Code / Build Verify Package & Deploy Configure Manage & Monitor Audit & Governance Pipeline Oversight & Traceability Real-Time Collaboration Release Management & Pipeline Orchestration Hybrid Environment Management Deployment Management & Orchestration Tool Integrations Normalized Data Model Converged Toolchains
22. PAGE 22 In conclusion…
23. PAGE 23 Any questions?