This document outlines a webinar on using DORA metrics to accelerate value stream flow. The webinar will be led by Helen Beal and Jeff Keyes and will discuss why measuring performance is important, what the DORA metrics are, insights into optimizing flow, and how to manage value streams. Key aspects that will be covered include culture, automation, lean principles, measurement, sharing best practices, lead time, cycle time, deployment frequency, change fail rate, mean time to restore service, value stream mapping, and value stream management platforms and tools.

1. Using DORA
Metrics to
Accelerate Value
Stream Flow

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Helen Beal & Jeff Keyes
will be guiding you
through this webinar
today
Speakers
Helen Beal
DevOpsologist - Ranger4 Limited
Helen.beal@ranger4.com
Jeff Keyes
VP of Product – Plutora
Jeff.keyes@plutora.com

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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

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Why Measure

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• Culture
• Automation
• Lean
• Measurement
• Sharing
Key Components of
DevOps Ways of
Working

6. “If you can’t
measure it, you
can’t improve it.”
-Peter Drucker

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The DORA Metrics

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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.

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Organizational Performance

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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

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Software Delivery & Operational Performance

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Flow Insights and Acceleration

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Using Value Stream Mapping to Measure Flow
Touch time +
wait time =
CYCLE TIME

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Time to value
Flow: How work moves through a value stream
IDEATION
Where product requirements are
collected and refined.
REALIZATION
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

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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?

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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

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Value Stream Management

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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)

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1342
Managing Value Streams
Improvement kata with Scrum
Plan
Check
Do
Act
Current
value
stream map
Next
target value
stream map
Long term
vision

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Managing Value Streams
Improvement kata with Scrum
Sprint
Plan
Check
Do
Act
Current cycle time
discovered and
continually measured
here
Use data from Plutora in
Sprint Review to inspect
progress towards Sprint
Goal and OKR
improvement
Sprint goal set in Sprint
Planning aligned with OKR
improvement and
recorded in Plutora
OKRs set here

22. 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

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In conclusion…

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Any questions?

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Measurement Guidelines
DON’T MEASURE DO MEASURE
Outputs, productivity Outcomes, value
Maturity Capability
Lines of code, velocity,
utilization
Delivery lead time,
deployment frequency, time
to restore service, change fail
rate
Individual or local Team or global