AI for Performance Reviews and Feedback: Clearer, Fairer, Still Human

Few managers enjoy writing reviews. AI can help with structure and wording, but people's careers deserve careful, personal judgement.

• Gathering evidence: organising notes, achievements and examples through the year.
• Structuring feedback: strengths, areas for growth and next steps.
• Rewording: making comments specific, balanced and constructive.
• Goal setting: turning ambitions into clear, measurable objectives.
• Preparing conversations: anticipating reactions and questions.
• Self-reviews: helping employees articulate their contributions.

• Bias: AI may echo stereotypes in wording about gender, age or background.
• Generic feedback that doesn't reflect the individual.
• Confidentiality: performance information is sensitive.
• Over-automation: ratings or decisions shouldn't be generated without human judgement.
• Legal and policy requirements for fairness and documentation.

1. Start with your own notes and evidence.
2. Ask AI to make wording specific and balanced, not to decide the rating.
3. Check for loaded or biased language, and compare how you describe different people.
4. Keep it personal: reference real examples.
5. Use approved tools and avoid pasting identifiable details elsewhere.
6. Discuss, don't deliver. The conversation matters more than the document.

• "Make this feedback more specific and actionable without changing the facts."
• "Does any wording here sound biased or vague?"
• "Suggest three questions to ask in the review conversation."

Use AI to prepare your self-review, list achievements and plan the development you'd like to discuss.

AI can make reviews clearer and less painful to write. Judgement, fairness and the conversation itself stay human.