Experimentation is a continual process of testing out hypotheses for ways to make your product better. This scientific approach to product management is geared towards understanding how people use your products, and identifying ways to improve them.
A/B Testing - You’re doing it wrong - How to effectively A/B test in a way that drives long-lasting results
So, your company wants to increase revenue and adoption by making some marketing site tweaks. They want more conversions, more clicks, more shares, and more users. What do they tell you to do first? Well, A/B test! Compare two versions of a page, define a key goal (ex. clicks), and see if you get more clicks. But, does this actually work? Is it really the approach you should take? Let’s look at the data.
Research-Driven A/B Testing with Nick Disabato
When does A/B testing have a positive impact on your business? How do you make intelligent, informed decisions? How do you prevent your ego and past experience from interfering? Nick Disabato, a world-class expert in A/B testing, talks about his research-driven work process and his humble philosophy.
Research as the Key to Conversion Rate Optimization with Momoko Price
You’ll learn why research is key to any CRO activity, why elimination testing is awesome, what tools you can use to split-test your pages, and how to plan the entire testing process.
Experimentation is Product Management
Tristan Kromer shares the differences between qualitative and quantitative user feedback, how to effectively formulate hypotheses, and the role of statistical significance in interpreting results.
Designing with Data: Improving the User Experience with A/B Testing
This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow.