A UX OKR holds up when it measures whether people succeed with the product, not screens redesigned.
Design work is visible, which makes the trap sneaky: redesigns shipped look like progress by themselves. The strongest UX OKRs measure whether people succeed: task success rates, time on task, error rates, and how often research actually reaches decisions. The redesign is the bet; the behaviour is the result.
UX and design OKRs also carry a second job in most companies: making design measurable enough to defend at the leadership table. The examples below are chosen with that in mind.
Objective: Make the top tasks impossible to fail
Coach’s score ★★★★★
Measurable ★★★★★
Outcome-based ★★★★★
Focused ★★★★★
Niklas Olsson · OKR coach
Task success rate on the core flows, time on task, error and dead-end rates, and adoption of the design system by the teams shipping UI. Each one is observable in testing or telemetry, and none can be hit by shipping a redesign nobody succeeds with.
Name the flows and the target behaviour, not the deliverables. 'Raise task success on checkout from 68% to 90%' leaves the team free to redesign, simplify or delete; 'ship the new checkout' decides the answer before the quarter starts.
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This example of an OKR could be very clear to a UX team, but from an outsider's perspective it is harder to understand what the team is actually trying to achieve. To create a link with an OKR so other teams understand what you are trying to achieve, you need wording that is clearer and more general, and that connects clearly to the business. This objective is an example: it is a little vague when we talk about the top tasks. What is a top task? It probably has meaning for this team, but probably not outside the team.
The same issue runs through each of the key results as well. It is a little unclear what the team is actually trying to achieve here.