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1. According to the guide, why must you supply raw material such as goals, metrics and feedback before asking AI to draft a self-review?
   • AI tools cannot process dates or numbers without examples
   • The model knows nothing about your year except what you paste in
   • Company policy requires attaching source documents to every AI prompt
   • Models refuse to write reviews unless given at least one metric
2. In the situation-action-result structure, what do the three parts describe?
   • Your job title, your manager's goals and your salary band
   • The company's mission, your team's budget and next year's plan
   • The problem, what you specifically did, and what changed
   • Your strengths, your weaknesses and your peer ratings
3. What is the main risk of asking the AI to 'make this sound impressive'?
   • It invites invented numbers and inflated language
   • It makes the review too short to submit
   • It causes the AI to remove all of your accomplishments
   • It automatically shares the review with your manager
4. What does the guide recommend telling the AI when a claim needs a metric you did not provide?
   • Estimate a reasonable number based on industry averages
   • Drop the claim entirely without telling you
   • Rewrite the claim as a question for your manager
   • Insert a placeholder such as [NEEDS METRIC] instead of inventing one
5. Why do thin inputs tend to produce phrases like 'strong team player'?
   • Enterprise tools are required to use approved HR vocabulary
   • Models are programmed with a fixed list of review phrases
   • The model generates the most statistically likely text, which is generic review language
   • Short prompts switch the AI into a special template mode
6. Which step does the guide recommend for managers who use AI to draft reviews of their staff?
   • Replace names with roles or initials and prefer approved enterprise tools
   • Paste full personnel files so the AI has complete context
   • Use any free consumer chatbot, since reviews are not sensitive
   • Let the AI make the final rating decision to avoid bias
7. What has research on written performance reviews found, according to the guide?
   • Men receive more growth-area feedback than women
   • AI-written reviews are rated higher than human-written ones
   • Reviews longer than one page are usually ignored
   • Women more often receive vague or personality-focused comments than specific feedback about their work
8. How does the European Union's AI Act classify AI systems used to evaluate workers' performance?
   • As minimal-risk tools with no obligations
   • As high-risk, bringing obligations for providers and the employers using them
   • As banned in all EU member states
   • As exempt if the employee gives verbal consent