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The control plane for DevEx teams

Developer Experience

The control plane for DevEx teams

AI set a new pace, and your developers absorb the cost. LinearB shows who's carrying the review load, how much context switching delivery requires and whether work is ready for review, so you can fix it before people burn out.

Trusted by the teams transforming software delivery

  • SurveyMonkey
  • Peloton
  • Equinix
  • Norwegian Cruise Line
  • Vizio
  • Gainwell
  • BigID
  • Expedia
  • Syngenta
  • Ingka
  • Silicon Labs
  • Astronomer
  • Mitratech
  • Solace

The developer's day moved from writing code to reviewing it

Reviewing is draining and often isolating work, and your strongest engineers feel it most. Measuring that strain takes both operational data and what developers tell you directly.
8.1M+
pull requests in LinearB's benchmark, from 4,800+ teams in 42 countries

Spot overload before people leave

The engineering health dashboard shows how review load is spread, who is working weekends and how many tickets developers juggle each day. The fix is usually routing, not hiring.

Reviewer imbalance

Compare the review load carried by your top 20% of reviewers with everyone else.

Weekend activity

See the share of developers using personal time to keep up, trended weekly.

Context switching

Spot developers juggling too many tickets on their busiest days.
Spot overload before people leave

Hear what developers won't put in a ticket

Built-in developer surveys put developers' own view next to their Git data, so you can see what is driving satisfaction up or down instead of guessing.

Quantitative and qualitative together

Read survey results alongside cycle time, review load and workload.

Track it over time

Re-run surveys to see whether the changes you make actually help.
Hear what developers won't put in a ticket

Check work is ready for review

PR maturity shows how complete pull requests are when they open, and development drag shows where work waits at each stage. Use them to fix the workflow, not to rank individual developers.

PR maturity

A falling score means more work needs rewriting once a reviewer looks closely.

Development drag

Find the workflow stage where waiting builds up.
Check work is ready for review

The engineering health dashboard in LinearB

Expedia improved developer satisfaction by 22%

Pairing operational data with developer surveys showed Expedia where friction was building, and what to fix first.
22%
improvement in developer satisfaction

What you'll report on

1.

Review load distribution

Developer Experience: how evenly review work is spread across the team.
2.

Weekend activity

Developer Experience: the share of developers using personal time to keep up.
3.

Context switching

Flow Efficiency: how many tickets developers juggle on their busiest days.
4.

PR maturity

Flow Efficiency: how review-ready pull requests are when they open.
5.

Survey scores

Developer Experience: how developers rate their tools, process and workload.

Measure a lot of things, but don't set hard targets on everything, because people love to hit targets. If you optimize on lines of code, people are going to give you lines of code. If you optimize on PRs, people are going to open a lot of PRs.

Deni Spasovski
Engineering Chief of Staff, Emburse
Emburse Logo

Related use cases

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Developer Experience

Make AI speed sustainable for the people doing the work
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Engineering Health

See who's absorbing the cost of your delivery speed
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Cycle Time

Turn faster coding into faster delivery

More resources

Book a demo

See review load, weekend work and PR readiness for your own teams.
Who is carrying your review load
Where context switching is building up
Survey results next to your Git data