Learn
The measures you get asked about, explained without the sales pitch.
Definitions, calculations, benchmark bands and — the part usually missing — the specific ways each measure gets computed wrongly. Written for people who will have to defend the number in a meeting.
Delivery performance
DORA metrics
The four keys, what they measure, and the performance bands.
Lead time for changes
From commit to production — and how to split it into stages.
Deployment frequency
How often you release, and why most teams measure it wrongly.
Change failure rate
The proportion of deployments that degrade production.
Time to restore service
How quickly you recover — the metric that governs how boldly you can ship.
Concepts and practice
PR lag
Why pull requests quietly lose hours or days between coding, review, checks, merge and QA - and how to remove the wait.
Engineering intelligence
What the category is, what it replaced, and what to expect from a platform.
Cycle time
The four stages, and why pickup is usually the answer.
Measuring AI impact
What you can honestly claim about Copilot, Cursor and Claude — and what you cannot.
Or just look at your own numbers
Every measure in these guides is computed in Pacia from your own repositories and issue tracker, banded, trended and traceable to the work behind it.