Writing OKRs That Engineers Actually Care About

2026-06-25 · 7 min read · Goals & OKRs

Most engineering OKRs fail before the quarter is halfway done. Not because the team doesn't care — but because the OKRs were written in a way that makes it impossible to care.

"Improve system reliability" is not an OKR. "Complete the auth service migration" is an output, not an outcome. And "achieve 99.9% uptime" might be measurable but gives the team no sense of why it matters or how their daily work connects to it.

Here's how to write OKRs that actually work for engineering teams.

Why Engineering OKRs Usually Fail

Engineering teams have a specific set of problems with OKRs that other functions don't:

Engineers think in outputs, not outcomes. "Ship the new API" is a natural way for an engineer to think. But outputs aren't objectives — they're tasks. An objective should describe the change in the world you're trying to create, not the work you're going to do.

Engineering work is hard to isolate. A product manager can own "increase activation rate." An engineer is usually one of ten people contributing to that outcome. OKRs that feel unwinnable because they depend on too many factors outside the team's control get abandoned.

Technical investment is hard to frame as an OKR. Refactoring, reducing technical debt, improving test coverage — these are often the most important things an engineering team can do, but they're notoriously hard to frame in OKR terms. Most teams either skip them or write vague OKRs that nobody tracks.

The Formula That Works

A good engineering objective answers: what changes for the user or the business, and why does it matter?

Weak objective: "Improve performance of the data pipeline" Strong objective: "Make the reporting product fast enough that power users don't need workarounds"

The difference: the strong version describes the user problem being solved. It gives engineers a north star that connects their technical decisions to a real outcome.

Key results under this objective might be:

• Dashboard load time under 2 seconds for 95th percentile queries (down from 8 seconds)
• Zero reports of users exporting to CSV as a workaround for slow loading
• 90% of scheduled reports delivered within 5 minutes of scheduled time

These are measurable, meaningful, and within the team's control.

A Framework for Writing Key Results

Good key results for engineering teams have three properties:

1. Measurable without ambiguity. "Better performance" is not measurable. "P95 latency under 200ms" is. If you can't define what done looks like before you start, the key result will be gamed or abandoned.

2. Outcome-oriented, not output-oriented. "Deploy the caching layer" is a task. "Reduce database load by 40%" is an outcome that the caching layer might help achieve. The distinction matters because outcomes survive when the implementation changes; tasks don't.

3. Achievable but not certain. OKRs are not a guarantee — they're a target. Google's famous rule is that consistently hitting 70% of your OKRs means they were well-calibrated. 100% every quarter means they were too conservative.

Handling Technical Debt in OKRs

Technical investment is legitimate work and it deserves to be in your OKRs. The challenge is framing it in outcome terms.

Instead of: "Pay down auth service debt" Try: "Reduce time to onboard new auth features from 3 weeks to 1 week"

Instead of: "Improve test coverage to 80%" Try: "Reduce production incidents caused by insufficient test coverage to zero"

Instead of: "Migrate to new infrastructure" Try: "Eliminate the class of deployment failures caused by the legacy provisioning system"

These framings work because they describe why the technical work matters, which both helps prioritisation and gives the team a sense of purpose beyond the technical task itself.

Team vs Individual OKRs

A common mistake is trying to make OKRs work at both the team and individual level simultaneously.

Team OKRs should describe what the team achieves together. Individual contributions to those outcomes live in your 1:1s and performance conversations, not in a parallel set of individual OKRs.

If you're running individual OKRs for each engineer, you've created a system where people optimise for their personal metric at the expense of team outcomes. One person hits their individual key result while the team misses its objective. Nobody feels like they failed, but the outcome is bad.

Keep OKRs at the team level. Use 1:1s for individual growth and contribution alignment.

Quarterly Rhythm

OKRs work best when they're genuinely quarterly — not annual goals broken into four parts. A quarterly OKR should represent a meaningful shift in a three-month window.

Start of quarter:

• Set 2–3 objectives maximum. More than 3 and focus collapses.
• Write key results together with the team, not for them. Engineers who write their own key results are far more likely to track them.
• Confirm that each key result has an owner and a measurement source.

Mid-quarter check-in (week 6–7):

• Score each key result 0–1 (where 0.7 is good, not 1.0)
• Identify what's off track and why
• Adjust if external circumstances have genuinely changed — but don't adjust to make failure look like success

End of quarter:

• Score and reflect honestly
• What did you learn about what was hard to predict?
• Feed that into next quarter's calibration

One More Thing: OKRs Don't Replace Communication

OKRs give a team direction. They don't replace the need for regular conversations about priorities, blockers, and what's actually happening in the work.

The teams that use OKRs best treat them as a shared vocabulary for prioritisation decisions, not as a management control mechanism. When a new request comes in, the question is "does this help us hit our OKRs, or is it more important than our OKRs?" That's a useful conversation. OKRs make it possible.

Without that conversation happening regularly, OKRs become wallpaper — posted at the start of the quarter, ignored until the end.