UX Research: Overcoming Data Anxiety

Course details

Confident business decisions require data. But it’s easy to feel overwhelmed during the analysis phase of your research. What data is best to use? How do you you make sense of it? How do you find the best patterns? Join best-selling author and UX and market research expert Sarah Weise to discover strategies for overcoming data anxiety and conducting better analysis in your research. Explore the key distinctions between good and bad research so you can avoid common mistakes and analytic errors. Learn to identify the needs of your data sets and select the right tools and methods for managing them. Along the way, Sarah offers practical insights drawn from years of experience in the field and stories from real projects, helping you gain confidence in your data so you can find patterns and use them to make clear, confident decisions for your product or business. By the end of this course, you’ll also be prepared to present your research clearly and effectively through visual storytelling.

Concepts

0. Introduction

01 - Analyze your data without fear or overwhelm
02 - What you need to know

1. What Is Good Research

03 - Signs of bad research
04 - Principles of good research
05 - Strategies of an experienced researcher
06 - Finding the right research partner - Three questions to ask

2. The Data Cycle - Working with Data

07 - The biggest myth about data
08 - Cleaning qualitative data
09 - Cleaning quantitative data
10 - Qualitative tools for data analysis
11 - Quantitative tools for data analysis

3. Finding Patterns in the Research

12 - Finding patterns in your qualitative data
13 - Finding patterns in quantitative data with descriptive statistics
14 - Advanced pattern recognition for quantitative data
15 - Time savers in data analysis

4. Presenting Your Research through Data Storytelling

16 - Data storytelling
17 - Organizing your data story for maximum impact
18 - Data visualizations

Conclusion

19 - Your data journey continues