Designing with Data (Improving the User Experience with A/B Testing)
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Product Details
Author:
Rochelle King, Elizabeth F Churchill, Caitlin Tan
Format:
Paperback
Pages:
367
Publisher:
O'Reilly Media (May 16, 2017)
Language:
English
ISBN-13:
9781449334833
ISBN-10:
1449334830
Dimensions:
6" x 9"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251023163248-20251023.xml
Folder:
TWO RIVERS
List Price:
$49.99
Case Pack:
22
As low as:
$42.99
Publisher Identifier:
P-PER
Discount Code:
C
Country of Origin:
United States
Pub Discount:
60
Weight:
17.6oz
Imprint:
O'Reilly Media
Overview
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
