Write your year-end performance self-review with AI

Turn your notes, emails and calendar from the year into a clear self-review that shows what you did and what it was worth.

The problem

Year-end reviews usually come due in November or December, and most people sit down to a blank form and can't remember what they did in March. Wins get left out, and the review that sets raises and promotions undersells the work.

Step by step

1. 1Skim your calendar, sent mail and notes for the year and jot down projects, problems you solved, people you helped and any numbers (time saved, dollars, customers, tickets).
2. 2Remove company secrets, customer names and anything confidential; describe the work in general terms instead.
3. 3Paste your notes and the questions from your review form into the prompt below to get a first draft organized by your goals.
4. 4Rewrite it in your own voice, check every claim and number, and make sure it's honest about what fell short and what you'll do next.
5. 5Check your employer's policy on AI tools before pasting work details, and keep a running "wins" note for next year.

Copy-paste prompt

Help me write my year-end self-review. My role: [job title, team, general industry]. My goals for the year: [paste goals from the review form]. What I did (no confidential details or customer names): [paste notes, projects and any numbers]. Review questions: [paste]. Write: (1) a draft answer to each question, organized by goal, using specific examples and numbers from my notes; (2) three bullet points for my biggest wins; (3) one honest area to grow and my plan for it; (4) two or three goals for next year. Keep it confident but not boastful, and don't invent results or numbers I didn't give you; mark gaps as [ADD DETAIL].

Tips and watch-outs

• Check your employer's policy on AI tools, and leave out confidential projects, customer names and internal numbers.
• Every claim should be true and something you can back up if your manager asks.
• Start a running "wins" note in January so next year's review takes minutes.

Review AI output before using it. Don’t paste confidential, customer or patient data into tools your company hasn’t approved.