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

A Practical Guide to Designing for the Web aims to teach you techniques for designing your website using the principles of graphic design. Featuring five sections, each covering a core aspect of graphic design: Getting Started, Research, Typography, Colour, and Layout. Learn solid graphic design theory that you can simply apply to your designs, making the difference from a good design to a great one

Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted. Additionally, the book describes the best approach for designing and implementing interactive graphics and visualizations that play a central role in data exploration and decision-support systems. Beginning with an introduction to visual perception, Making Sense of Data III features a brief history on the use of visualization in data exploration and an outline of the design process. Subsequent chapters explore the following key areas: Cognitive and Visual Systems describes how various drawings, maps, and diagrams known as external representations are understood and used to extend the mind's capabilities Graphics Representations introduces semiotic theory and discusses the seminal work of cartographer Jacques Bertin and the grammar of graphics as developed by Leland Wilkinson Designing Visual Interactions discusses the four stages of design process—analysis, design, prototyping, and evaluation—and covers the important principles and strategies for designing visual interfaces, information visualizations, and data graphics Hands-on: Creative Interactive Visualizations with Protovis provides an in-depth explanation of the capabilities of the Protovis toolkit and leads readers through the creation of a series of visualizations and graphics The final chapter includes step-by-step examples that illustrate the implementation of the discussed methods, and a series of exercises are provided to assist in learning the Protovis language. A related website features the source code for the presented software as well as examples and solutions for select exercises. Featuring research in psychology, vision science, statistics, and interaction design, Making Sense of Data III is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for computational statisticians, software engineers, researchers, and professionals of any discipline who would like to understand how the mind processes graphical representations.

Learn how to use field research to bring essential people-centred insights to your information design projects. Information design is recognized as the practice of making complex data and information understandable for a particular audience, but what’s often overlooked is the importance of understanding the audience themselves during the information design process. Rather than rely on intuition or assumptions, information designers need evidence gathered from real people about how they think, feel, and behave in order to inform the design of effective solutions. To do this, they need field research. If you’re unsure about field research and how it might fit into a project, this book is for you. This text presents practical, easy-to-follow instructions for planning, designing, and conducting a field study, as well as guidance for making sense of field data and translating findings into action. The selection of established methods and techniques, drawn from social sciences, anthropology, and participatory design, is geared specifically toward information design problems. Over 80 illustrations and five real-world case studies bring key principles and methods of field research to life. Whether you are designing a family of icons or a large-scale signage system, an instruction manual or an interactive data visualization, this book will guide you through the necessary steps to ensure you are meeting people’s needs.