In many organizations, goal setting is tracked by how many employees have documented objectives—but this metric alone doesn’t reflect the true effectiveness of the process. In this session, we shift the focus from quantity to quality by using AI to assess how well employee goals align with SMART criteria. Despite providing clear guidance on setting SMART goals, we ask: how many goals actually meet those standards? By leveraging AI, we can systematically evaluate goal quality, uncover patterns, and identify opportunities to improve goal-setting practices across the organization. In this session you will learn:

• How to define and measure SMART goals using data-driven methods.
• How AI can guide teams to set goals aligned with strategy.
• Ways to assess goal quality and intervene early when progress slows.
• How to expand goal-setting across the business lifecycle for broader impact.
• Practical frameworks for connecting SMART methodology with organizational outcomes.