Module 1/4 22 min
AI in performance management
Step 1 / 4·Where AI helps in the performance cycle
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Learning objectives — after this module you will:
- Identify where AI helps across the performance cycle
- Separate what AI does well from what managers must keep
- Set the principle: AI does not rate people
Learn ~6 min
Where AI helps in the performance cycle
Build a map of AI in performance management.
AI across the performance cycle
| Stage | What AI helps with | What people keep |
|---|---|---|
| Goal setting | Draft SMART goals, suggest metrics | Choose priorities, agree with the employee |
| Continuous feedback | Draft feedback from notes, make language clear and neutral | Content, specific examples, the conversation |
| Periodic review | Summarize evidence across the period, draft the review | Judgment, ratings, decisions |
| Calibration | Aggregate distributions, flag anomalies | The panel's discussion and decision |
TTD tool connection
TTD's Performance Calibration tool helps standardize rating distributions; this course helps you use AI for drafting and summarizing, while rating decisions stay with people.
Key takeaway: AI helps draft goals, feedback, and summaries; people keep the judgment and the rating decision.