English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 25m | 113 MB
You’ve gathered data from interviews, usability tests, and other UX research efforts. Now what? In this course, instructor Amanda Stockwell shows how to turn this raw data into powerful insights, exploring best practices and methodologies for analyzing research data to inform and guide your UX design projects. Amanda covers a framework for setting appropriate objectives for your research, as well as how to create hypotheses. She goes over both qualitative and quantitative data, highlighting their individual strengths as data sources, and shows how to analyze and draw conclusions from qualitative data. Along the way, she shares practical examples and advice that can help you apply each concept in your own practice.
Table of Contents
1 Data is king
2 Setting your objectives
3 Different data types
4 Breaking down qualitative data
5 Tagging, pruning, and sorting qualitative data
6 Filtering into actionable insights
7 Turning raw data into deep insights
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