October 2020
Beginner to intermediate
448 pages
15h 6m
English
book
Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
by Joanne Rodrigues
Content preview from Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
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6. Why Are My Users Leaving? The Ins and Outs of A/B Testing
In the prior chapters, we discussed theory development and the process of metrics creation and development. All of the tools we learned in prior chapters are used in conjunction to further our understanding of user behavior. To test our theories, we need to establish hypotheses and test them. We use conceptualization to create quantitative metrics to measure qualitative concepts and test our hypotheses. Then, we use the results of these tests to either falsify or confirm our theories.
In this chapter, we focus on the process of testing our hypotheses. We assume that you have built a theory with an eye toward behavior change, used the metrics creation techniques to develop sound/interesting ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.