Guide-linked quiz · Medium Level

How to Write a Self-Evaluation or Performance Review with AI Quiz

Test your grasp of evidence-based self-reviews, grounding AI drafts in your own facts, and protecting employee data when writing reviews.

Question 1 of 8

According to the guide, why must you supply raw material such as goals, metrics and feedback before asking AI to draft a self-review?

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Answers and explanations appear as you take the quiz.

  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

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