See who's absorbing the cost of your delivery speed

Use Case

Engineering Health

See who's absorbing the cost of your delivery speed

AI raised the volume of code arriving, but review capacity didn't grow to match it. LinearB's engineering health dashboard shows who's carrying the review load, how much context switching your delivery requires, and whether the work reaching review is actually ready for it.

Trusted by the teams transforming software delivery

What your software factory is doing to your engineers

Reviewer Imbalance

See who absorbs your review volume

An average review count can look healthy while most of the reviewing sits with a handful of people. Reviewer imbalance shows how many more reviews your top 20% complete than everyone else, so you see load concentrating before it burns people out.

Context Switch Load

See how much parallel work your team is juggling

Context switch reports the average number of work items a developer handles at once, and multitask distribution groups developers by how many tickets each juggles on their busiest day, so you can see whether switching is spread across the team.

PR Readiness

Check whether the work reaching review is ready for it

PR readiness reports average PR maturity, how complete pull requests are when opened, trended weekly across maturity bands. A falling score means more of what arrives needs rewriting once a reviewer looks at it properly.

From 50% DORA health scores to 98% in less than 6 months. LinearB has given our business critical telemetry and attribution for our engineering teams."

Matt Culver

Engineering Chief of Staff, Super.com

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See it on your data

Get a live look at reviewer load, context switching, and PR readiness for your own team.

Live look at your reviewer concentration

How context switching shows up across your team

Your team's PR readiness trend