Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data—not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you'll delight your users, increase your bottom line and gain a powerful competitive advantage for your company—and yourself. Key features include: - Practical advise on choosing the right data analysis technique for each project. - A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field. - Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS. - Clear and concise guidance on interpreting the data output. - Exercises to practice the techniques - Practical guidance on choosing the right data analysis technique for each project. - Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals. - A step-by-step methodology for applying each predictive technique, including detailed examples. - A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report. - Exercises to learn the techniques

Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively. - Discover concrete information on how web analytics data support user research and user-centered design - Learn how to frame questions in a way that lets you navigate through massive amounts of data to get the answer you need - Learn how to gather information for personas, verify behavior found in usability testing, support heuristic evaluation with data, analyze keyword data, and understand how to communicate these findings with business stakeholders

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

User experience (UX) design has traditionally been a deliverables-based practice, with wireframes, site maps, flow diagrams, and mockups. But in today’s web-driven reality, orchestrating the entire design from the get-go no longer works. This hands-on book demonstrates Lean UX, a deeply collaborative and cross-functional process that lets you strip away heavy deliverables in favor of building shared understanding with the rest of the product team. Lean UX is the evolution of product design; refined through the real-world experiences of companies large and small, these practices and principles help you maintain daily, continuous engagement with your teammates, rather than work in isolation. This book shows you how to use Lean UX on your own projects. Get a tactical understanding of Lean UX—and how it changes the way teams work together Frame a vision of the problem you’re solving and focus your team on the right outcomes Bring the designer’s tool kit to the rest of your product team Break down the silos created by job titles and learn to trust your teammates Improve the quality and productivity of your teams, and focus on validated experiences as opposed to deliverables/documents Learn how Lean UX integrates with Agile UX

"This is a practical book about how to measure the user experience of websites, software, mobile apps, products, or just anything people use. This book is for UX researchers, designers, product owners, or anyone that has a vested interest in improving experience of websites and products"--Introduction.

Oeuvre vs. Abstract Space: Appropriation of Gezi Park in Istanbul Senem Zeybekoglu Sadri, Dr. 1-10 DOI https://doi.org/10.25034/ijcua.2017.3643 Identity in Changing Context: Factors of losing Identity in new developed part of the city of Famagusta, North Cyprus Hourakhsh Ahmad Nia, Dr., Yousif Hussien Suleiman, MA. 11-20 DOI https://doi.org/10.25034/ijcua.2017.3644 The inspiration of Bauhaus principles on the modern housing in Cyprus Mustafa Aziz Amen, Ph.D. Candidate 21-32 DOI https://doi.org/10.25034/ijcua.2017.3645 An agenda for the Management of contemporary Sustainable houses Ifeanyi Obi, Dr. 33-37 DOI https://doi.org/10.25034/ijcua.2017.3646 Courtyard Housing in China: Chinese Quest for Harmony Donia Zhang, Dr. 38-56 DOI https://doi.org/10.25034/ijcua.2017.3647 Density, Energy and Metabolism of a proposed smart city Anindita Mandal, Dr., Hugh Byrd, Dr. 57-68 DOI https://doi.org/10.25034/ijcua.2017.3648 Establishment of space syntax to read urban road network; the case of Sari, Iran Ehsan Valipour, Ph.D. Candidate, Samira Tayyebisoudkolaei, MA., Abdolah Mobaraki, Ph.D. Candidate 69-75 DOI https://doi.org/10.25034/ijcua.2017.3649 Profession vs Ethics Hossein Sadri, Dr. 76-82 DOI https://doi.org/10.25034/ijcua.2017.3650

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.