Measuring an AI agent's impact on product teams requires a dual approach, focusing on both quantifiable gains and qualitative feedback. A truly helpful AI agent will demonstrate a clear reduction in manual effort or time spent on repetitive tasks, allowing teams to focus on higher-value strategic work. Key performance indicators (KPIs) like cycle time reduction, defect rate decrease, or feature delivery acceleration can indicate positive impact. Conversely, an agent creates more work if it necessitates extensive oversight, frequent corrections, or adds extra steps to existing workflows, which can be identified through increased context-switching or escalation rates. Direct observation of workflows, user surveys, and tracking the time spent problem-solving versus time spent innovating are crucial for a comprehensive evaluation. More details: https://svt-monde.org/spip.php?action=cookie&url=https://infoguide.com.ua