AI Agent in E-Learning: From 58% Dropout to Measurable Retention

This case study shows how structured QA turned an underperforming AI tutor into a retention driver. A US-based EdTech company launched a personalized AI assistant to guide learners through self-paced courses. Within three days, 58% of users stopped using it.

You will learn how to:

• Identify the root causes of AI-driven user churn
• Validate content recommendations and answer accuracy
• Test agent behavior across devices and learning paths
• Measure the impact of QA on retention and engagement

Read the full case study to see how testing helped reduce dropout to 21% and cut incorrect answers by 72%.