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Analytics & A/B Testing

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Number
Link
Format
Description
Intro
Quantitative vs. Qualitative UX Research
Video
How to determine when you need a quantitative study
Open
Intro
Quantitative vs. Qualitative Usability Testing
Article
Differences between quantitative user testing and (the more-common) qualitative usability testing 
Open
1
Video
Comparing the information obtained from these two sources of quantitative metrics for UX
Open
2
Article
How to avoid feeling lost in your analytics data and make it meaningful
Open
3
Video
How to use both high-value user actions (macroconversions) and smaller-value, frequent user actions (microconversions) as analytics metrics to track the performance of your site and identify issues
Open
4
Article
Advice for choosing the right analytics metrics for your specific UX goals
Open
5
Video
Pairing analytics with qualitative research to learn the “why” behind those problems identified through analytics
Open
6
Video
How to understand analytics metrics that require interpretation
Open
7
Video
When and how to use two key analytics metrics (time spent and page views) to evaluate whether your users are efficient or engaged
Open
8
Article
Why metrics that only go up (like total visitors) aren’t very useful and how to avoid these feel-good vanity metrics
Open
9
Article
How to use analytics to  discover potential problems in your product’s information architecture
Open
10
Video
The difference between  two metrics that  people often confuse
Open
심화
Article
How to ground your A/B testing experiments in research to develop well informed design variations
Open
심화
Video
Why relying on A/B testing alone is likely to result in  design mistakes. 
Open
심화
Article
Why relying on A/B testing alone is likely to result in  design mistakes. 
Open