Full day training course offered at Usability Week New York City

Analytics and User Experience

Helping UX practitioners understand how to incorporate web analytics into their work

For usability and user experience professionals, much of our decision-making has traditionally been driven by empirical data derived via qualitative research -- if we are lucky! With all the friction surrounding UX decisions (e.g., angry HiPPOs, disappointed designers, irritated IAs), quantitative data-driven decisions are very attractive. And getting attention from business executives and those who hold the purse-strings can be much easier when you've got quantifiable data to support your findings and recommendations.

In this course, we will outline the types of data that are available, the questions they can answer and how to incorporate these into the design process and complement existing qualitative research methods.

"I feel empowered to make a strong case for or against proposed redesigns based on my analyses."

Angela Runnals
Simon Fraser University

Please note: This course is not intended to provide instruction regarding how to use particular analytics packages.

Topics

  • Why use analytics and user research?
    • Triangulation
    • Merging who, what, and where with the why
  • How can analytics help UX folks?
  • UX Discovery
    • Issue identification: Find problems to be solved with UX expertise
    • Strategy Informationat Gathering: Justifying projects, validating persnas, information customer journeys maps, and collecting background information necessary for design planning
    • Health Monitoring: Ongoing measurement plan and Key Performance Indicators (KPIs) that indicate if there are UX issues
  • UX Optimization
    • Project Metrics: Degining project-specific metrics that can be measured before and after imeplementation to ensure satisfaction with your deliverables.
    • Experimentation: Running A/B and multivariate tests to improve results via different design and content variations.
  • Analytics mechanics
    • Server log file analysis
    • Javascript tagging
    • Cookies
  • Goals
    • Different types of goals: transaction, engagement, etc.
    • Macro conversions indicating revenue-related or mission-critical transactions
    • Micro conversions indicating process milestones toward a macro conversion or secondary actions that indicate potential future macro conversions
  • Custom variables to track charcteristics of users, sessions and particular pages peopel interact with to be used for more advanced analysis
  • Event tracking to capture actions users take within web pages such as downloading a document, interacting witha  calculator, watching a video, filling out form fields, etc.
  • Metrics terminology and UX value/interpretations
    • Vists/Sessions
    • Unique visitors
    • Pageviews/Unique pageviews
    • Pages/visits
    • Average visit duration
    • Bounce rate
    • % new visits
    • Entrances
    • Exit rate
    • Page value
    • Average time on page
  • Analytics landscape
    • Enterprise-class analytics vendors
    • Other analytics vendors
    • UX analytics such as clickpath and heatmap tools
    • A/B testing vendors
    • Tag managers
  • Storytelling with data (versus reports and dashboards)
  • Report manipulation tools
    • Dimensions
    • Filters
    • Views
    • Segments
    • Navigation Summary
    • In-page analytics

Format

The course is mainly in lecture format with lots of case studies and a few exercises to reinforce the learned principles and guidelines. Opportunities to ask questions and get answers.

Attendee Feedback

"Analytics and User Experience is by far my favorite class during usability week. I'm leaving Las Vegas with renewed energy and a tool box loaded with some awesome new UX tools." 
"Take this course if you've ever had to go to over button colors or names because you'll learn a practical and indefensible approach." 
"This course is the foundation I needed to validate the decisions I've made and fix the holes in improving my business."

Instructor

Jennifer Cardello

Jennifer Cardello is a director at Nielsen Norman Group. For over 15 years she has designed strategies to help organizations bridge the gap between business goals and user needs. At NN/g, Cardello’s research focuses on information structure, navigation patterns, rating and review systems, discussion forums, content sharing, and trust and persuasion. Read more about Jen

Course Date: August 28, 2014

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