Problem Statement
Thoughtful performance evaluations take lots of time, strategic thought and solid recollection of key happenings from the past.
Description
Because performance evaluation practices vary across the university, this AI in HR use case leverages approved AI tools to assist with writing and editing support. At a basic level, AI can serve as a copy editor to improve clarity, tone, and structure in evaluation narratives, ensuring feedback is specific, professional, and easy to understand. When provided with appropriate inputs (e.g., role expectations, previously documented goals, project outcomes, and agreed-upon performance considerations), AI can also help expedite drafting by:
- Organizing feedback into a clear format (strengths, impact, development areas, next steps)
- Turning notes into behavior-based examples tied to goals and results
- Suggesting balanced language that is direct, respectful, and actionable
- Creating consistent summaries across multiple reviews while preserving individual detail
Supervisors remain fully responsible for the substance and final wording of evaluations, including validating accuracy, ensuring fairness and consistency, and confirming alignment with unit practices and HR guidance. AI outputs should be reviewed carefully and used to support—never replace—human judgment in performance decisions.
Learn More
AI in Employee Performance Evaluations
Contact
Email UHR Generative AI Governance for more information or assistance in any AI in HR needs.