Practical Web Analytics for User Experience How Analytics Can Help You Understand Your Users
Auteur : Beasley Michael
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.
Chapter 1 IntroductionChapter 2 Analysis ProcessChapter 3 How it WorksChapter 4 GoalsChapter 5 Visitor AnalysisChapter 6 Traffic AnalysisChapter 7 How People Use ContentChapter 8 Clickpath AnalysisChapter 9 SegmentationChapter 10 Putting it TogetherChapter 11 TestingChapter 12 Measuring Behavior within PagesChapter 13 AB TestingChapter 14 ProfilesChapter 15 CultureChapter 16 Conclusion
UX professionals (UX designers, usability engineers, usability architects, usability researchers, UX managers)Secondary: Graduate level students in a human-computer interaction, usability, or related program.
- 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
Date de parution : 08-2013
Ouvrage de 256 p.
19x23.3 cm
Thèmes de Practical Web Analytics for User Experience :
Mots-clés :
A/B testing; Analysis model; Analytics personas; Analytics profiles; Analytics reporting; Analytics segments; Business analysis; Click analytics; Click-path analysis; Content analysis; Conversion rate; Conversion rate optimization; Cross-domain tracking; Dat a analysis; Data analysis; Event tracking; Filters; Heuristic evaluation; Keyword analysis; Log files analysis; Marketing; Multivariate testing; Page tagging; Page usage metrics; Search query analysis; Segmentation; Traffic analysis; URI; URL; Usability; Usability inspection; Usability testing; User experience; User personas; User research; Visitor analysis; Web analytics; Web metrics; Whitepaper