Performance Review Agent Skills: How These Are Used
The information below illustrates how Performance Review Agent skills improve help employees and managers focus on growth rather than research.
| Reminder: This agent is in Early Access. Review the Product Statement regarding unreleased services, features, functionality or enhancements. |
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AI-Drafted Employee Self-Assessments
Eliminates the "blank page" problem for employees by automatically populating performance review templates with data-backed drafts of their accomplishments and growth over the review cycle.
How it Works: When an employee opens their review, the Agent/Skill maps to the organization’s configured Workday template and pre-fills questions with suggested answers built from their actual work, third-party systems (e.g., M365, Google Drive), goals, and integrated peer feedback. Every claim includes clickable citations pointing to the source data. If the Agent/Skill lacks context for a specific question, it leaves it blank and lets the employee chat with the AI to refine or fill in the gaps before submitting.
Outcome: Saves employee time, reduces the burden of recalling months of work from memory, and ensures self-evaluations are accurate, fair, and grounded in concrete evidence.
Streamlined Manager Evaluations & Document Drafting
Streamlines the manager evaluation phase by pulling team data, tracking review progress, and generating evidence-based review drafts directly within the document editor.
How it Works: Managers can prompt the Agent/Skill in a conversational chat interface to immediately view team review statuses and access synthesized employee data. The Agent/Skill drafts the manager evaluation section-by-section directly into the document writer, pulling proof points from the systems and tools the employee actually uses, complete with clickable citations. Managers retain full control to review, edit, and adjust all drafts.
Outcome: Drastically increases manager efficiency and capacity—reducing typical review cycle times (which often take 4–6 weeks) while enabling managers to focus on coaching and development rather than manual drafting.
Integrated Feedback & Cross-System Evidence Synthesis
Connects disparate talent data—such as peer feedback, goals, check-ins, and third-party activity—into a unified, evidence-based performance narrative.
How it Works: The Agent/Skill automatically ingests behavioral insights captured by the Feedback Agent/Skill, along with core Workday talent data and connected external systems. It synthesizes these inputs into objective, structured evaluation drafts that link directly to skills, competencies, and organizational rubrics.
Outcome: Creates high-quality, continuous, and objective evaluations that make performance conversations more meaningful, balanced, and development-oriented.