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Performance review

As explained in AI for Everyday IT

A performance review is a formal assessment of an employee's work, results, and development against expectations or goals.

A performance review is a formal assessment of an employee’s work, results, and development. AI can reduce the paperwork by organizing information, drafting balanced feedback, and helping managers spend more time with their teams. section 15.0 section 15.5

A practical AI-assisted review process can include:

  • Keep a separate chat for each employee so relevant context stays together. section 15.3
  • Use notes, goals, and other detailed information to support writing and analysis. section 15.3 section 15.5
  • Start with self-evaluations, then examine tone for unintended bias and phrase constructive criticism clearly. section 15.3 section 15.3
  • Turn goals into SMART goals—specific, measurable, achievable, relevant, and time-bound—and suggest ways to meet or exceed them. section 1.1

Review-writing task

Provide the employee’s self-evaluation and supporting notes to an AI model. Ask it to organize the evidence, identify positive and negative tone, flag possible bias, and draft professional constructive feedback. Verify every claim and keep the manager responsible for the final evaluation. section 15.3 section 15.0

How AI for Everyday IT covers it

How deep it goes
Explains context management, self-evaluation analysis, sentiment checks, constructive feedback, and SMART goals without detailing model internals.
Examples
Uses employee chats, year-round notes, self-evaluations, SMART goals, sentiment checks, and drafts of constructive criticism.
What it assumes
Assumes employee information and goals are available, while teaching sentiment analysis as positive, negative, or neutral tone.
What you can do after
Apply it via AI models to organize review evidence, draft feedback, examine tone, and structure goals for final human verification.
How it connects
Connects performance reviews with self-evaluations, sentiment analysis, SMART goals, career development, and skills matrices.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.