Sentiment Monitoring for Team Health (Bundle 2)

By the time burnout, disengagement, or conflict become obvious, it's often too late. Someone's already quit. A deadline's already blown. In remote and hybrid teams, it's harder to read the room. You can't see body language. You can't sense the energy. You're relying on Slack messages and video calls and critical signals slip through. Here's what most PMs miss: team sentiment shows up in patterns before it shows up in performance. Someone who used to write detailed updates now sends one-word replies. Someone who always contributed ideas is suddenly silent. Someone's messaging at 2am five nights in a row. This 20-minute micro-course teaches you how to use AI to monitor team sentiment so you can catch burnout, disengagement, and conflict before they derail your project. You'll learn the sentiment monitoring framework: identify signals (message frequency, tone shifts, meeting participation), use AI to analyze patterns, interpret the data with human judgment, and respond with empathy. You'll see how a fintech PM used AI to flag that a developer was overloaded (before they burned out), a designer was losing confidence (before they disengaged), and a QA engineer was working unsustainable hours (before they quit) and how proactive check-ins solved all three issues. This isn't surveillance. It's proactive care. You'll learn what tools to use (from free manual analysis to automated pulse surveys), how to be transparent with your team, when to escalate to HR, and how to protect your own mental health while monitoring team health. Because the best PMs don't wait for people to ask for help. They notice patterns and check in early. AI spots the patterns. You bring the empathy. This course shows you how. Certificate of completion included.