Analyzing data for the usability evaluation of a mobile health (mHealth) app involves a combination of quantitative and qualitative methods. The goal is to gain insights into user interactions, identify usability issues, and assess overall user satisfaction. Below are steps on how to analyze data and report findings: 1. Quantitative Data Analysis: Task Success Rate: Calculate the percentage of successfully completed tasks by participants. Identify tasks with low success rates as potential areas for improvement. Time on Task: Analyze the time taken by participants to complete each task. Look for outliers or significantly longer task completion times. Error Rate: Compute the percentage of errors made by participants during tasks. Categorize errors by severity and identify common issues. MAUQ (specify if it was for a stand-alone or interactive app): Analyze survey responses overall (total scores on the MAUQ). Calculate average scores and identify areas where the app excelled or needs improvement. 2. Qualitative Data Analysis: Observations: Review observational notes or video recordings. Identify recurring patterns, user struggles, and moments of success. Open-Ended Survey Responses: Categorize and code open-ended responses. Look for common themes