Designing with Data

Improving the User Experience with A/B Testing

By: Rochelle King, Elizabeth F Churchill, Caitlin Tan

Write A Review

eText | 29 March 2017 | Edition Number 1

At a Glance

Format
ePUB

eText

$40.69

or 4 interest-free payments of $10.17 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data.

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.

Understand the relationship between data, business, and design
Get a firm grounding in data, data types, and components of A/B testing
Use an experimentation framework to define opportunities, formulate hypotheses, and test different options
Create hypotheses that connect to key metrics and business goals
Design proposed solutions for hypotheses that are most promising
Interpret the results of an A/B test and determine your next move