Analytics Infrastructure and Instrumentation Questions

Designing and building the analytics systems and instrumentation needed to measure product performance, run experiments, and enable data driven teams. Topics include defining an event taxonomy and instrumentation standards, designing data pipelines and storage, ensuring data quality and monitoring, establishing metric definitions and governance, enabling self service dashboards and analysis, and integrating experimentation infrastructure with analytics. Candidates should discuss prioritization of instrumentation work, trade offs between speed and accuracy, ownership models, and privacy and compliance considerations for measurement systems.