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Using AI for Performance Reviews: Do’s, Don’ts, Tips

Can I use AI to write a performance review?

Yes—AI can help you write a performance review, especially for organizing evidence, turning notes into clear language, and keeping tone consistent. The best results come when AI supports your judgment rather than replacing it: you provide the facts, context, and final decisions, and AI helps structure and polish the draft.

How to use AI responsibly for performance reviews

Start by gathering objective inputs: project outcomes, measurable metrics, customer feedback, peer notes, and examples of behaviors tied to role expectations. Then use AI to convert that information into a balanced narrative that covers strengths, growth areas, and next steps. Keep the employee’s role, level, and review period specific so the output doesn’t drift into generic praise or vague criticism.

Maintain fairness by checking for biased wording and ensuring similar performance gets similar language across employees. If the draft sounds harsher for one person than another with comparable results, revise it. Also verify any numbers, dates, and claims—AI can smooth sentences but shouldn’t be trusted to invent details.

What to include (and what to avoid)

A solid AI-assisted review typically includes: a summary of impact, 2–4 concrete accomplishments with evidence, 1–3 development opportunities framed with examples, and clear goals for the next cycle. When discussing improvements, pair observations with expectations and actionable steps (training, mentorship, scope changes, or timelines).

Avoid sensitive personal information, medical details, or anything you wouldn’t want stored outside your HR systems. Use your company’s approved tools and policies, and don’t paste confidential data into public AI services.

Make the final version sound like a human manager

Before sharing, read the review aloud. Replace buzzwords with specific behaviors and outcomes, and ensure feedback aligns with prior 1:1 conversations. If the review is a surprise, it’s usually not an AI problem—it’s a management process problem. For a practical, evidence-based approach to faster and fairer reviews, see this guide to AI-enabled performance reviews.

FAQ

What should I not put into an AI tool when writing a performance review?

Don’t include confidential company information, private employee data, compensation details, or sensitive personal information. Use approved, secure tools and keep inputs limited to necessary, work-related facts.