Download Measuring Web Site Success

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Measuring Web Site
Success
Jim Feck, Union College
Rachel Reuben, SUNY New Paltz
Ned Stankus, Hamilton College
On the Agenda
• How to set measurable goals for your site
• Tools/methods to measure your site’s
success
–
–
–
–
Log file analysis
Focus Groups
Surveys
Usability studies
• Best practices for using those tools
• What to do with the “data” once you have it
Guiding Principles
• Your numbers are wrong
– Trends are important
– Consistency is key to everything
• Set specific (and realistic) goals
– Need to accommodate both the technology and
the end user
• Use quantitative data to back up
qualitative data and vice-versa
• Look for trends in resources accessed
Analytics: Log File Analysis
• How it works
– Definitions
• Tools available
–
–
–
–
–
WebTrends
Urchin
ClickTracks
Analog
“Hosted” Solution (Embedded JavaScript code)
• “Myths”
• Best practices
• Success/failure stories/gotchas
Analytics: “Other”
• Mass e-mail effectiveness
• Search engines
• Third-party and legacy systems
– Virtual Advisor
– ChatU
– Webcast
• Homegrown apps
– News
– E-Newsletter
• Error tracking
– E-Mail Notifications
Focus Groups
• What are they?
• When to use focus groups?
• How?
– Target audiences
– Open discussion
• Outcomes
• Focus groups yield qualitative
(subjective) data
Usability Testing
• What is it?
• When to use usability testing?
• How?
– Target audiences
– Open discussion
• Outcomes
• Usability testing yields both
qualitative AND quantitative data
Surveys
• What are they?
– Types
• When to use surveys?
– Each type
• How?
– Target audiences
– Tools
• Outcomes
• Surveys can yield both qualitative AND
quantitative data (depending on questions)
Summary
• Focus groups
– Broad strokes
– Subjective
– Easy to perform
• Usability testing
– More granular
– More defined
• Surveys
Metrics We Can’t Live Without
–
–
–
–
–
–
–
–
–
–
–
–
–
Page/site popularity - comparing date ranges
Click paths (to and from)
Internal search terms
Referrals/referral search terms
Browser (user agent) tracking
Dynamic page query data
Downloads for non-html files
Entrance/Exit pages
Unique/Repeat visitors (more reliable with cookies)
E-mail clickthrough
Admissions Surveys
Time on site
Error reports
Promoting yourself
and your office
• Summarize findings regularly to key
administrators
– Analytics of all types educate you and
everybody else
– Keeps the Web on the radar screen
– In the long run, this education helps
build support for the work you do every
day.
Reading List
Web Usability
• Don’t Make Me Think! (Steve Krug)
• Designing Web Usability (Jakob Nielsen)
Log File Analysis/Visitor Tracking
• Web Metrics (Jim Sterne)
Other:
• Call to Action: Secret Formulas to Improve
Online Results (Bryan and Jeffery
Eisenberg)
Questions?
[email protected]
[email protected]
[email protected]