By late October, review meetings are filling calendars while the forms are still half finished. The task is familiar: summarize twelve months of someone’s work in a few paragraphs, assign a rating, defend it in calibration, and then explain it in a conversation that is supposed to motivate the employee.
A polished review still has to give the employee something useful. Research has questioned the value of performance reviews for years; AI-assisted drafting now adds a question about whether better wording improves the conversation. Leaders overseeing the process need to examine both the assessment and how it is prepared.
What Employees Say About Reviews
Only 14% of employees strongly agreed that their performance reviews inspire them to improve, according to Gallup. About two in ten strongly agreed that their performance is managed in a way that motivates them to do outstanding work. Those findings raise a practical question for organizations that devote weeks to review season: is the process giving employees useful direction?
Gallup also found that 29% of employees strongly agreed their reviews are fair, while 26% strongly agreed they are accurate. Those are sobering figures for managers debating whether a rating should be a “3” or a “4.” They don’t mean that everyone else distrusts the rating, but they do raise questions about how clearly employees understand and accept the assessment, especially when it affects compensation.
Gallup found that 48% of employees are reviewed once a year and another 26% less often. That puts formal reviews at least twelve months apart for roughly three-quarters of respondents; it doesn’t tell us how often they receive informal feedback. Over a year, priorities shift, colleagues join and leave, and a project that seemed central in January may be cancelled in April. A single review has a lot to cover if those changes haven’t been discussed along the way.
When a Simpler Process Is Not More Useful
When a process feels painful, the natural instinct is to make it shorter. Fewer forms, fewer steps, maybe drop the ratings. Gartner found that two-thirds of HR leaders focused their fixes on making performance management easier or less time-consuming.
In coverage published in 2019, Gartner warned that reducing documentation requirements, eliminating ratings, and trimming formal steps could together cause workforce performance to decline by more than 16% and weaken employees’ sense that performance management was worth the effort. That warning challenges the assumption that a simpler process is necessarily a more useful one.
Gartner uses the term “utility” for a process that serves employees’ and the business’s needs. Organizations taking that approach reported a 24% improvement in workforce performance, a 7% higher share of high performers, 14% higher engagement, and a 50% higher share of employees describing the process as fair and accurate. Employees who judged performance management useful were also four times more likely to say it was worth the effort. The emphasis was on what the process delivered, not simply how much time it took.
The time a review takes is only part of the problem. Employees also need something useful in return: a clearer understanding of what’s expected and what to work on next. Reducing paperwork won’t accomplish that on its own.
The Recency Trap and the Twelve-Month Gap
Before drafting, try recalling three specific things a direct report did between January and March. If you need old emails to reconstruct the work, use them. Recent events are easier to bring to mind; the review needs a record that reaches further back.
An annual review can give recent events more weight than earlier work. A difficult September may overshadow an otherwise strong year, while someone who carried the team through a demanding spring may have that contribution overlooked after a quiet autumn. That imbalance can make the assessment feel incomplete to the employee.
Gallup recommends progress reviews at least every six months as part of an ongoing conversation. Drawing on a study of 559 roles and 7,000 employees, it also recommends assessing individual achievement, team collaboration, and customer value. A form focused only on individual goals may miss contributions to colleagues’ work or to customers. Those contributions need explicit attention alongside individual results.
Involving employees in goal setting is another useful step. Gallup found that only three in ten employees strongly agreed their manager involves them in setting goals; those who did were four times more likely to be engaged. Participation doesn’t guarantee a fair rating, but it lets employees discuss expectations before their work is assessed against them.
The AI Ghostwriter in the Room
AI-assisted review writing raises questions about how feedback is prepared and what employees are told about that preparation.
Two October reports describe managers using AI in performance conversations, though they asked different questions. A Headway survey of 1,000 managers, reported on October 1, found that 33% had used AI to write feedback or prepare a performance review, and 57% had used it to script or rehearse a difficult conversation. A Highwire survey reported on October 8 found that 78% of managers had used AI to draft or edit performance feedback in the past year. In that survey, 16% of non-managers said they had been told AI contributed to their most recent review.
Employees’ responses in the Highwire survey were mixed: 54% said feedback had become more specific and actionable, while 34% said it felt more generic and 32% said it was less useful. These responses don’t establish why experiences differed or whether AI caused the changes. They do suggest that using AI is not, by itself, a reliable sign of better feedback.
AI can help organize notes, correct grammar, or check whether a draft addresses the three performance areas. Those uses still require the manager to supply the observations and check the result. Asking a tool to generate the substance of a review is a different task: fluent wording cannot replace specific evidence about someone’s work. The Headway coach quoted in the coverage makes a related point about AI polish feeling superficial when trust and empathy matter.
The Highwire findings also raise a disclosure question. In that survey, 78% of managers reported using AI for feedback, while 16% of non-managers said they had been told it contributed to their most recent review. These are different measures, not a matched comparison of managers and their employees. Even so, explaining how AI may be used and making clear that the manager owns the judgment would give employees a better basis for understanding the process.
What “High Performance” Means Now
AI also raises a question about the review criteria themselves: do they reflect how the work is now done?
Betterworks’ 2026 State of Performance Enablement report, released in March, found that 88% of HR leaders agree AI has changed how performance is evaluated, yet about half are behind in updating their performance management to reflect AI-assisted work. Ninety percent of HR leaders said AI has redefined what high performance looks like, but only 42% of organizations have built AI expectations into their goals. And only 8% of employees said their company has communicated a clear AI vision.
These findings point to a mismatch between leaders’ expectations and what organizations have put into goals or communicated to employees. They don’t establish that employees are already being rated against undisclosed standards. The same Betterworks report found that 92% of executives felt ready to use AI, compared with 51% of employees, which adds a readiness gap to the communication problem.
Before reviews close, agree with team leads on what strong performance now looks like in each role. That might include producing the same report in half the time, catching errors introduced by an AI tool, or teaching colleagues a better workflow. Write the relevant expectations into next year’s goals so employees can see the standards before their work is assessed.
How to Run This Year’s Review Differently
You probably can’t redesign the system before the forms are due. You can change how you and your managers run the conversations.
Gather evidence before drafting. Review one-on-one notes, project updates, and messages from the full year, not just the last quarter. Ask peers for relevant input and consider feedback from customers or internal partners. Each rating needs specific support; if the evidence is thin, resolve that before writing, with or without AI.
In the conversation, begin with achievements and then move to development, as Gallup recommends for progress reviews. Acknowledging what went well gives the discussion a fuller basis before addressing what needs to change. Describe strong performance in the role, then discuss how the employee can reach that standard more consistently.
Where possible, hold separate conversations about pay and development. Discussing compensation first can leave less attention for the growth plan; a separate meeting gives that plan its own time.
End the review with a specific development step. Only three in ten employees strongly agree that someone at work encourages their development, according to Gallup. A stretch project, a skills goal, or a named mentor gives the employee something to act on after the meeting. Even a strong performer needs more direction than “keep doing what you’re doing.”
Making Continuous Feedback Stick After December
Year-end reviews become more useful when employees have already heard the feedback during the year. The meeting can then focus on progress and next steps rather than surprises.
Regular feedback can fit into work already under way: ten minutes at the end of a one-on-one to discuss what went well and what to adjust, a quick message after a presentation, or a shared document recording contributions as they happen. That record keeps January’s work available in October and gives both people something to refer to when preparing the review.
Senior leaders also need to look beyond completion rates. On-time submission tells you whether reviews were filed, not whether they were useful. Asking employees about the feedback they receive and checking whether development plans lead to actual projects gives leaders a better view of what happens after the forms are submitted.
And give your managers time. A process that asks for twelve reviews in three weeks, with no prep time, invites shortcuts, AI-written ones included.
Conclusion
Gallup’s findings—14% strongly agreeing that reviews inspire improvement and 29% that they are fair—give leaders reason to examine what employees get from the process. In coverage published in 2019, Gartner warned that cutting effort could cause a performance decline of more than 16%; it also reported a 24% improvement among organizations focused on usefulness. These figures are not a head-to-head test of two approaches, but they reinforce the case for judging review season by the clarity and direction it provides employees, rather than by completed forms alone.
With AI-assisted drafting, managers still need to bring specific evidence, use the tool to help edit rather than supply the assessment, explain expectations for AI-assisted work, and keep giving feedback after review season. The Highwire survey’s 78% manager-use figure and 16% employee-disclosure figure concern different measures and do not establish a direct disclosure gap.
Before reviews are due, make time to prepare for the conversations as well as complete the paperwork.
These sources span several years and different respondent groups, questions, and measures. Their percentages are not directly comparable, and the survey findings do not by themselves establish that a particular review practice causes a particular outcome.