| 书目名称 | UX Optimization | | 副标题 | Combining Behavioral | | 编辑 | W. Craig Tomlin | | 视频video | http://file.papertrans.cn/941/940198/940198.mp4 | | 概述 | Teaches how to test optimizations and improve website performance.Provides an understanding of what UX behavioral data means and how to analyze it.Shows how to identify and capture critical usability | | 图书封面 |  | | 描述 | Combine two typically separate sources of data—behavioral quantitative data and usability testing qualitative data—into a powerful single tool that helps improve your organization’s website by increasing conversion and ROI. The combination of the .what is happening. data of website activity, coupled with the .why. .it‘s happening .data of usability testing, provides a complete 360-degree view into what is causing poor performance, where your website can be optimized, and how it can be improved...There are plenty of books focusing on big data and using data analytics to improve websites, or on utilizing usability testing and UX research methods for improvement. This is the first book that combines both subjects into a methodology you can use over and over again to improve any website..UX Optimization. is ideal for anyone who wants to combine the power of quantitative data with the insights provided by qualitative data to improve website results. The book uses step-by-step instructions with photos, drawings, and supporting screenshots to show you how to: define personas, conduct behavioral UX data analysis, perform UX and usability testing evaluations, and combine behavioral UX and u | | 出版日期 | Book 2018 | | 关键词 | App data; Behavioral UX data; UX data; Big data; Website analysis; UX research; Conversion Optimization; Co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3867-7 | | isbn_softcover | 978-1-4842-3866-0 | | isbn_ebook | 978-1-4842-3867-7 | | copyright | W. Craig Tomlin 2018 |
| 1 |
Front Matter |
|
|
Abstract
|
| 2 |
,UX Optimization Overview, |
W. Craig Tomlin |
|
Abstract
UX Optimization: Combining Behavioral UX and Usability Testing Data to Optimize Websites is ideal for anyone who wants to combine the power of quantitative data with the insights provided by qualitative data to improve website results. The book uses step-by-step instructions with photos, drawings, and supporting screenshots to show you how to; define personas, conduct behavioral UX data analysis, perform UX and usability testing evaluations, and combine behavioral UX and usability data to create a powerful set of optimization recommendations that can dramatically improve any website.
|
| 3 |
,What’s a Persona?, |
W. Craig Tomlin |
|
Abstract
Step 1 of your UX optimization process is to define a Persona, or use already existing Personas if they are available.
|
| 4 |
,Types of Personas, |
W. Craig Tomlin |
|
Abstract
My friend Robert likes to tell the story of when he realized how mission-critical Personas and UX testing actually was to web design or redesign projects. We were working at a large health insurance company at the time. Robert was leading the team that was responsible for updating a web-based portal people would be using to find and access important insurance information.
|
| 5 |
,Why Personas Matter, |
W. Craig Tomlin |
|
Abstract
Personas matter. And they should matter so much to you that you wouldn’t dream of conducting behavioral data analysis, usability testing, or any UX design project without first having one. Here’s why. Like film in a movie projector, air in your tires, or credit cards at Christmas time, Personas are critical to the UX process. There are many reasons why Personas are so critical, but several that stand out are; they add context to UX behavioral data, They enable user-centered design, they aid in recruiting for usability testing, and they help decrease scope creep.
|
| 6 |
,How to Create a Persona, |
W. Craig Tomlin |
|
Abstract
The majority of you more than likely already have Personas that you can use to help with the data you’ll be working with during the next chapters. Since you already have Personas, it’s fine for you to skip this chapter and move right into the next chapter. Go grab your favorite beer, wine, coffee, tea or appropriate beverage for your tastes, and I’ll see you there! But for the rest of you, if you do not have Personas to work with, no worries! This chapter will help you create a Design Persona you can use as part of your UX analysis and optimization. So roll up your sleeves and let’s have some fun!
|
| 7 |
,Behavioral UX Data, |
W. Craig Tomlin |
|
Abstract
Sometimes too many choices can be a bad thing. In his Ted Talk and book, The Paradox of Choice: Why More Is Less, psychology professor Barry Schwartz provides insights into why choice, so highly valued in our culture, is actually causing us to be unhappy. Rather than providing us the freedom and happiness we seek, too many choices are sometimes causing us to feel we need to make decisions that in the end make us feel worse. There are a variety of studies that have demonstrated that offering too many choices sometimes causes people to make no choice. It sounds odd, but limiting choices can actually empower people to make a choice. All of which causes me to say… Behavioral UX data is like laundry detergent. There are so many choices available that deciding what to use can be overwhelming. So with that cautionary tale in mind, let’s dive into the world of behavioral UX data.
|
| 8 |
,UX and Usability Testing Data, |
W. Craig Tomlin |
|
Abstract
In this chapter, I will provide an overview of; what UX research and usability testing is (and isn’t), the types of data available, how to analyze this data, and examples of how this data is used.
|
| 9 |
,Putting It All Together: Behavioral UX Data Analysis and Recommendations, |
W. Craig Tomlin |
|
Abstract
Your goal in putting all the behavioral UX data together is to look for patterns among the diverse pieces of data. The patterns you will look for are created by combining everything you have acquired in your research to this point. So far, you have; identified the Persona or Personas, analyzed behavioral UX data, and evaluated UX research and usability testing data. You will start looking for patterns across each of these data sources. Using your ability to combine elements into a consistent pattern, you will identify issues and thus be able to make recommendations for optimizations that can then be vetted using A/B testing.
|
| 10 |
,Putting It All Together: Usability Testing Data Analysis and Recommendations, |
W. Craig Tomlin |
|
Abstract
With the quantitative behavioral UX data analysis complete, you have identified patterns that indicate “what’s happening.” You will use the “what’s happening” quantitative analysis to help you determine on which pages and with what tools you should evaluate the “why it’s happening” qualitative data. Let’s continue with the case study of the Shop.MyEvergreenWellness.com eCommerce website to see how usability testing and related qualitative data will help you identify the WHY.
|
| 11 |
,Conclusion: The Big Picture, |
W. Craig Tomlin |
|
Abstract
You know the old saying, right? If at first you don’t succeed… Practice makes perfect, things probably won’t always work out the way you expect as you start conducting this methodology, and that’s okay. Learn from what happened, what went right, and what went wrong, and move forward. Take what you’ve done in past studies and apply changes to what you’re doing for future studies. Another piece of advice I want you to take to heart is - Always test the test. Let’s dive into the big picture of UX optimization.
|
| 12 |
Back Matter |
|
|
Abstract
|
|
|
|Archiver|手机版|小黑屋|
派博传思国际
( 京公网安备110108008328)
GMT+8, 2025-7-18 07:31
发表于 2025-3-21 19:38:31
