Engineering OKRs · 10 min read

Engineering OKRs That Survive a 2am Page, Not Just Sprint Review

I've run engineering orgs and platform teams for about a decade, and I've watched more good teams get wrecked by their own OKRs than by any outage. The pattern is always the same: numbers that feel productive but don't tell you whether the product got better or whether it held up. Here's how I write engineering OKRs that measure shipped, reliable outcomes, plus the four sub-functions I see broken most often.

By Max Bondarenko · Last updated June 2026

The story-point trap is the cardinal sin of engineering OKRs

Story points measure how much the team typed. Not what shipped. Not whether it held up at 2am. I've sat in reviews where a squad cleared 140 points and the only thing the customer noticed was a fresh bug in checkout. Velocity in points is an internal accounting fiction; it tells you the team was busy, which I already assumed. If your OKR is 'increase velocity from 110 to 150 points a sprint,' you've written a wish dressed as a metric, and I'd kill it in the planning meeting.

Here's the rule I hold every engineering KR to. It has to be a number a customer or an on-call engineer would actually feel. Latency they wait through. An outage they didn't have. A release that shipped instead of rotting in a branch. Every KR below carries a real baseline and a real target, because a KR without a starting number is just a vibe. If you can't tell me where you are today, you can't tell me in twelve weeks whether you won.

Reliability / SRE

Reliability is the one place where 'we tried hard' counts for nothing. The graph either flattened or it didn't.

Velocity / delivery

Delivery isn't about going faster on a whiteboard. It's about how often working code reaches a real user.

Quality

Quality OKRs go wrong when they count tests written instead of bugs that reached a customer.

Developer experience

DevEx is real engineering work, not a perk. Slow local builds and a brittle pipeline tax every other objective you've got.

The logic: why these work

Every KR here passes a three-part test. There's a baseline (where we are, measured, not guessed), a target (where we want to be), and an outcome it ties to (something a customer or an engineer feels). If a KR is missing the baseline, I send it back; you can't claim progress from an unknown starting point. And the target has to be a stretch. I calibrate so that landing about 70% of the way feels like a strong quarter. If a team hits 100% on everything, the targets were sandbagged and we wasted the quarter aiming low.

I learned the ambition part the hard way. One quarter early on I let a platform team set six objectives at once, all flagged 'must-hit.' We landed roughly 60% on each and finished none of them cleanly, because focus got shredded across too many fronts. The lesson stuck. Two or three objectives, ambitious targets, and 70% as a good landing beats six 'safe' goals that all come in at 60% and leave everyone feeling like they failed. Fewer, bolder, with real baselines. That's the whole game.

The weekly engineering check-in

Engineering OKRs drift quietly, so I run a tight 20-minute weekly check on the numbers, not the narrative. No status theater. Pull up the dashboards live and ask whether the trend is bending toward the target or sitting flat. If it's flat three weeks running, the plan is wrong, not the effort.

If that last question says we'll land at 40% on a KR by week five, I'd rather revise the target then than limp to quarter-end pretending. Revising early isn't failure; it's the system working. The cardinal sin is hiding from a number until it's too late to do anything about it.

An engineering OKR template you can steal

Copy this, swap in your own baselines, and pressure-test every target against the 70%-is-a-win rule. The example numbers are placeholders. The discipline is the point.