The document outlines the steps to take in analyzing user data from testing: 1) Compile the raw data, 2) Summarize the key metrics and measurements, 3) Analyze the data to identify problems and their severity. Some important metrics that should be summarized include task accuracy, task timings, and preference data. The analysis should prioritize problems by severity to identify the most serious issues.