Data Science & Analytics Topics

Metrics and Validation

Covers measurement strategies and validation techniques for products, documentation, and processes. Topics include selecting meaningful metrics such as page views, time on page, bounce rates, support ticket trends, task success rates, user satisfaction scores, and telemetry; designing experiments and measurement approaches; analyzing quantitative and qualitative data; validating that changes produced desired effects; and using metrics to drive continuous improvement and prioritize work.