THINK TANK: New Feedback Systems: AI, Insight, and Behavioral Change

Performance management is being structurally redesigned. Annual reviews are giving way to continuous feedback, real-time analytics, sentiment data, and AI-assisted performance signals. At the same time, expectations around pay transparency, equity, and development access are rising. Visibility alone does not improve performance. Without clear consequence models, capable managers, and tight alignment to compensation and promotion, feedback systems create noise rather than sustained change.

This Session Will Examine:

• Feedback System Integration: Real-time insight directly connected to compensation, development pathways, and accountability.
• AI-Augmented Performance Insight: Analytics and sentiment data applied without distorting managerial judgment or undermining trust.
• Manager Readiness and Consistency: Leaders equipped to interpret, calibrate, and act on richer performance data fairly and effectively.
• Sustained Behavior Change: Increased visibility translated into measurable performance improvement—not reporting fatigue.

• Equity and Transparency Risk Management: Legal, reputational, and cultural exposure addressed as performance data becomes more granular and persistent.