Continuous performance reviews instead of an annual surprise

Performance reviews were episodic and largely subjective. They happened when they happened, and what they concluded depended a good deal on who was writing them.

The real problem sat underneath that. There was no agreed definition of what good looked like in a given role — no standard to measure against. Without one, feedback could only ever arrive late and inconsistently, and it often landed as a surprise to the person receiving it. A surprise in a review is the clearest sign that it should have been said months earlier.

The review system was built on explicit KPIs, defined per role. That is the part that usually gets skipped: before anyone can be reviewed continuously, somebody has to say plainly what the job is.

With the standard written down, AI tracks progress against it continuously and surfaces feedback to both the manager and the employee — rather than saving it all up for one annual conversation.

Managers and staff see the same picture of performance, against the same standard, on an ongoing basis instead of once a year.

That was the whole point of it. A review should be the summary of a conversation both people have already been having — not the first time either of them hears where they stand.