IT and engineering teams are measured badly more often than almost any other function — either drowned in dashboards nobody acts on, or handed vague goals like “improve reliability” with no numbers attached. The fix is the same clean distinction that works everywhere else, applied to the realities of running systems: know which of your metrics are KPIs (monitor forever) and which belong in OKRs (change this quarter). Here’s how it looks for IT.
If you want the general concept first, KPIs vs OKRs covers the fundamentals. This piece makes it concrete for technical teams.
KPIs keep the lights on; OKRs move the needle — Hover any part for detail.
The one-line difference
KPIs (Key Performance Indicators) are metrics you monitor continuously to know whether your systems and service are healthy. They have no end date — you’ll always care about uptime.
OKRs (Objectives and Key Results) are a goal-setting framework for driving ambitious change over a set period. They have a deadline, after which you set new ones.
For IT: KPIs are your monitoring dashboard; OKRs are the improvement project you launch when the dashboard tells you something has to change.
IT KPIs: the metrics you watch every day
These are the operational vital signs of a technology team. You track them continuously against a target, indefinitely:
| KPI | What it tracks |
|---|---|
| Uptime / availability | % of time systems are up (e.g. 99.9%) |
| Incident count & severity | Number and seriousness of outages |
| MTTR (Mean Time To Recovery) | How fast you recover from an incident |
| Deployment frequency | How often you ship (a DORA metric) |
| Change-failure rate | % of deployments that cause a problem (a DORA metric) |
| Ticket resolution time | How fast support/helpdesk requests are closed |
| System response time / latency | How fast the system performs |
| Security patch compliance | % of systems patched and up to date |
Notice these are all ongoing health. You never “finish” caring about uptime or incident count — they’re the gauges you keep watching. (The four DORA metrics — deployment frequency, lead time, change-failure rate, MTTR — are the widely used standard for engineering delivery health.)
IT OKRs: the change you’re driving this quarter
An OKR isn’t a metric you watch forever — it’s a goal with a deadline, built to move things somewhere new. Objective (qualitative, ambitious) + Key Results (2–5 measurable outcomes). Real examples for IT:
Example 1 — Reliability
Objective: Make our platform boringly, dependably reliable. Key Results:
- Improve uptime from 99.5% to 99.95%.
- Cut Sev-1 incidents from 8 to 2 per quarter.
- Reduce MTTR from 90 minutes to under 20.
Example 2 — Delivery speed
Objective: Ship value faster without breaking things. Key Results:
- Increase deployment frequency from weekly to daily.
- Cut change-failure rate from 15% to 5%.
- Reduce lead time for changes from 6 days to 1.
Example 3 — Security
Objective: Close the gaps before someone else finds them. Key Results:
- Reach 98% patch compliance across all servers.
- Cut critical vulnerabilities open >30 days from 40 to 0.
- Roll out MFA to 100% of employees.
Example 4 — Support experience
Objective: Make IT support something employees actually praise. Key Results:
- Reduce average ticket resolution time from 3 days to 1.
- Raise internal CSAT from 72% to 90%.
- Deflect 40% of tickets with a self-serve knowledge base.
Each objective is inspiring but fuzzy; the key results make it measurable and time-bound.
How they work together
The pattern that makes it click: a KPI that’s off becomes the trigger for an OKR. Say your change-failure rate KPI has crept up to 15%. That KPI is doing its job — flagging a problem. So you launch an OKR to fix it (objective: make deployments reliable; key result: change-failure rate from 15% to 5% this quarter). Once you hit it, 5% becomes the new KPI level you monitor going forward, and the OKR retires.
The metric can be identical. The difference is intent: a KPI is you watching uptime; an OKR is you deliberately improving it. When the improving is done, it goes back to being something you watch. (More in the KPIs vs OKRs module.)
The two IT-specific traps
Turning every KPI into an OKR. If your quarterly OKRs are “keep uptime at 99.9%, keep incidents low, keep tickets fast,” you’ve just listed your KPIs. Those are maintenance, not transformation. OKRs should be few and ambitious.
Vague objectives with no numbers. “Improve reliability” is a wish, not an OKR. For engineering teams especially, every key result should be a number you can pull straight from your monitoring — uptime %, incident count, MTTR, failure rate. If you can’t measure it, it’s not a key result.
How to use the terms
- “Uptime is a core KPI — we watch it 24/7.” (ongoing health)
- “Our top OKR this quarter is cutting change-failure rate — three key results tied to it.” (time-boxed change)
- “Deployment frequency is a KPI, but we’ve made it an OKR this quarter because it’s too slow.” (promoting a KPI to a goal)
- “That’s not an OKR — ‘improve security’ has no key results. Give me patch compliance and open-vuln numbers.” (enforcing the discipline)
Nail this and your IT metrics stop being a wall of dashboards and become a system: KPIs tell you the health of your systems right now, OKRs move the numbers you’ve decided aren’t good enough. For the manufacturing version of this, see KPIs vs OKRs for Manufacturing.
Related reading: KPIs vs OKRs · OKR Examples · KPI Examples