Professional Certificate in UX Data for Enhanced Performance
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⢠User Experience (UX) Data Analysis: Understanding the collection, interpretation, and application of UX data to improve user experience.
⢠Data-Driven UX Design: Utilizing data to inform UX design decisions, focusing on user needs, behaviors, and preferences.
⢠Quantitative UX Research: Examining large-scale data sets to identify trends, patterns, and correlations in user behavior.
⢠Qualitative UX Research: Analyzing in-depth interviews, surveys, and usability tests to understand user motivations and pain points.
⢠Statistical Analysis for UX: Applying statistical methods to UX research data to uncover insights and make informed recommendations.
⢠Usability Metrics and Testing: Measuring and evaluating usability through metrics, such as task completion rate and time on task.
⢠User Research Methods: Selecting and applying appropriate user research methods to collect relevant UX data.
⢠Communicating UX Findings: Presenting UX data insights effectively to stakeholders and team members.
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