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Unleashing the Power of UX Analytics

Unleashing the Power of UX Analytics

By : Jeff Hendrickson
4.8 (10)
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Unleashing the Power of UX Analytics

Unleashing the Power of UX Analytics

4.8 (10)
By: Jeff Hendrickson

Overview of this book

UX analytics is a field that recognizes the significance of understanding human behavior and emotions in designing user experiences. It goes beyond mere metrics and embraces a people-centric approach. With the help of this comprehensive guide, you’ll acquire essential skills, knowledge, and techniques to establish a top-notch UX analytics practice. Unleashing the Power of UX Analytics will equip you with the strategies and tactics necessary to effectively collect, analyze, and interpret data, empowering you to make informed decisions that enhance the overall user experience. It emphasizes the importance of empathy in comprehending user needs and desires, enabling you to create meaningful and impactful design solutions. As you advance, this book walks you through the entire UX analytics process, from setting goals and defining key performance indicators (KPIs) to implementing various research methods and tools. You'll gain insights into user interview best practices, usability testing, and techniques for gathering qualitative and quantitative data. Armed with the knowledge of data analysis and interpretation, you'll be able to uncover patterns, trends, and user preferences to make data-driven decisions.
Table of Contents (25 chapters)
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1
Part 1: Introduction to UX Analytics
6
Part 2: Goals
9
Part 3: Research
16
Part 4: Strategy
19
Part 5: Tactics

What this book covers

Chapter 1, Understanding the Fundamentals of User Experience, explains the importance of knowing what UX really is, and what its not. This chapter will help readers understand the broad scope of UX to improve user acceptance and usability of a software product.

Chapter 2, Just What Do We Mean by Analytics?, talks about the need to use analytics to understand user behavior of a software product. By learning the meaning and different types of analytics, readers will be able to design the correct research and interpret the findings with greater accuracy.

Chapter 3, Using Analytics Effectively for Successful UX Projects, teaches the importance of analytics and that analytics relies on the correct type of research to bring them forth.

Chapter 4, Achieving Success Through a Repeatable Process, shows how to spin up new projects quickly and efficiently. This chapter teaches how repeatable processes are sustainable and allow others not directly involved to understand quickly and follow the process at a broader level. They also set the team up for success by providing the framework for future projects.

Chapter 5, Northstar Statement - Your Greenlit Marching Orders, dwells into creating the Northstar statement in collaboration with the cross-functional core team. It takes input from every facet of the business to ensure that the project will meet the goals of all, including, business, product, and engineering.

Chapter 6, Change Management - It’s Not Just About the Systems, It’s About the People, focuses on how a properly staffed and well-trained change management team will help ease in the disruptions that a new application will unintentionally cause. It teaches the readers to prepare the workforce for the change well in advance of the release by making training videos and holding short, guided practice sessions with the power users.

Chapter 7, Design Thinking - Understanding the Core Problem-Solving Tool in a UX Practice, takes you through step-by-step processes and best practices so that you can become a respected facilitator of design thinking.

Chapter 8, Interviews and Personas - Best Practices for Quick and Efficient User Understanding, explores the different levels of interviews to get and solidify the ask from management, then to test that ask against managers and individual contributors. Understanding the ask from business stakeholders and the problems or new goals from the bottom up and the top down is critical to a successful project outcome.

Chapter 9, Surveys - A High-Level, Broad-Stroke Tool for Quick Direction, solidifies the importance of moving out into the market and getting a broad sentiment of the problems you’re trying to solve for. It explores the topic of surveys, which are a way to do this quickly and more efficiently than is often possible through in person interviews.

Chapter 10, UX Metrics - The Story of Operational Measurement, explores quantitative and qualitative metrics, understanding the ask, and determining the best type of metrics to gather and report.

Chapter 11, Live By Your Data, Die By Your Data, dwells on how a UX Analytics practitioner must become intimately familiar with all measurable aspects of their business so that they can support the goals of the management teams. It teaches the broad perspective of the data first, with an understanding of who it’s important to and why.

Chapter 12, The Tools It Takes to Gather and Consolidate Information, gives you a brief understanding of some of the best tools available in the market - with links to the sites – so that you can do your own due diligence to determine what would be best fit for you, your company, and the work you do.

Chapter 13, Digital Transformation - An Enterprise Use of UX Analytics, covers best practices for digital transformation including change management, corporate sponsorship, and a strong, cross-functional core team of leaders to keep it moving.

Chapter 14, Content Strategy & Analysis - An Analytics Based User-Centric Approach, talks about how content is just as important as data and research. Content is the structure that is visible to users and therefore the face of the company. Hence, the capturing and storage of, and the access to content is a key aspect of digital business.

Chapter 15, Deliverables - You Wrapped the Research, Now What Do You Present?, ties everything together and teaches the importance of packaging it all as deliverables, that are agreed on by the core team, and can be adjusted based on analytics and other research as the iterative process moves through.

Chapter 16, Data Visualization - The Power of Visuals to Help with Cognition and Decisions, shows how by visualizing research and analytics, you can deliver information in a form that allows for quicker understanding and decision making.

Chapter 17, Heuristics - How We Measure Application Usability, delves into heuristic evaluations and their significance in the context of delivering effective UX Analytics outcomes. It helps study and learn usability heuristics so that designs can mirror most closely the way that humans expect applications to work.

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