rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: UX Optimization
    sub title: Combining Behavioral UX and Usability Testing Data to Optimize Websites
  name:
    name part: Tomlin, W. Craig.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 198 p. 76 illus. online resource.
  abstract: 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 usability data to create a powerful set of optimization recommendations that can dramatically improve any website. What You'll Learn: Understand personas: what they are and how to use them to analyze data Use quantitative research tools and techniques for analysis Know where to find UX behavioral data and when to use it Use qualitative research tools, techniques, and procedures Analyze qualitative data to find patterns of consistent task flow errors Combine qualitative and quantitative data for a 360-degree view Make recommendations for optimizations based on your findings Test optimization recommendations to ensure improvements are achieved.
  table of contents: Chapter 1: UX Optimization Overview -- Chapter 2: What's a Persona? -- Chapter 3: Types of Personas -- Chapter 4: Why Personas Matter -- Chapter 5: How to Create a Persona -- Chapter 6: Behavioral UX Data -- Chapter 7: UX and Usability Testing Data -- Chapter 8: Putting It All Together: Behavioral UX Data Analysis and Recommendations -- Chapter 9: Putting It All Together: Usability Testing Data Analysis and Recommendations -- Chapter 10: Conclusion: The Big Picture.-.
  note: by W. Craig Tomlin.
  subject:
    topic: Big data
  subject:
    topic: Big Data
  subject:
    topic: Big Data/Analytics
  classification: QA76.9.B45
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484238677
  identifier: https://doi.org/10.1007/978-1-4842-3867-7
  record info:
    record creation date: 180926
    record change date: 20190618011408.0
    record identifier: 978-1-4842-3867-7