Cuestionario vinculado a una guía · Medio Nivel

Cómo escribir una autoevaluación o una revisión del desempeño con un cuestionario de IA

Pruebe su comprensión de las autoevaluaciones basadas en evidencia, fundamentando los borradores de IA en sus propios hechos y protegiendo los datos de los empleados al escribir reseñas.

Rutas de guía relacionadasCómo escribir una evaluación de desempeño con IA
Pregunta 1 de 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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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  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