How and Why to Measure Engineering Productivity
From DORA, SPACE, DevEx and QUANTS to the internal T-Meter
From DORA, SPACE, DevEx and QUANTS to the internal T-Meter
From DORA, SPACE, DevEx and QUANTS to the internal T-Meter
Alexander Polomodov, Technical Director & Fellow, large fintech
Architecture and development processes
An engineering organisation of about 10,000
The internal T-Meter platform
Run — Stable operational work
Change — Product delivery and development
Disrupt — New products and models
Delivery tempo and stability form one system
Technical capabilities
Process capabilities
Culture and wellbeing
Delivery and operational performance
Survey
Perception
Cognitive load
Satisfaction
Systems
Cycle time
Review wait
Context switching
Surveys
DevEx 360
DX Core 4
Satisfaction and flow
Telemetry
Cortex scorecards
Code Climate
Pluralsight Flow
A templated Jira model becomes team and portfolio dashboards
Do not rank people
Do not copy thresholds across teams
Read trend and context
Adopt bottom-up
Define the work type
Join tempo and stability
Add perception
Read flow at two levels
Never turn metrics into KPIs
Measurement should support improvement
Accelerate + DORA
SPACE framework
DevEx framework
Google QUANTS + GSM
tellmeabout.tech
Slides, notes and links are on the site
Alexander Polomodov, Technical Director & Fellow, large fintech
@book_cube