Partner with engineering to design and implement event tracking across lessons, assessments, and practice activities.
Ensure logging schemas capture fine-grained data such as attempts, hints, time-on-task, and error patterns.
Audit and maintain data quality so insights are trustworthy and actionable.
Analyze learner/learning data, identifying opportunities for improvement in content and feature design, coordinating efforts to implement the changes and track their impact on student learning.
Apply learning science models (e.g., learning curves, item response theory, knowledge tracing) to track skill growth and predict mastery.
Identify where learners struggle and what drives retention, progression, and engagement.
Translate findings into recommendations for product, content, and instructional design improvements.
Collaborate with product managers and designers to shape existing and new features based on learning data.
Support A/B testing and experiments to measure the effectiveness of interventions.
Deliver clear, business-oriented reports and dashboards for stakeholders.