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Combining Methods
User Research and Web Analytics
Martijn Klompenhouwer & Adam Cox
EuroIA - September 25th, 2009
Agenda

About Web Analytics

About User Research
Why you should combine methods

Practical examples

Why you should try it too
User Intelligence (about us)
About Web Analytics
Web Analytics Definition
"Web Analytics is the measurement, collection, analysis
and reporting of Internet data for the purposes of
understanding and optimizing Web usage.“

- The Official WAA Definition of Web Analytics
What does the definition mean?
 Where are your users coming from?

 What are they doing?

 When and where do they leave?
Some examples of Web Analytic measurements
Referrals

Visitors, visits and page views

Popular pages
Bounce rates

Funnel analysis

Path Analysis
Issues with Web Analytics

 Data often perceived as boring statistics

 Implementation of WA tool not always correct

 Reports: just the facts, no insights, no actions
Web Analytics is quantitative in nature
To get insights, interpretation of the numbers is needed
About User Research
Some examples of User Research methods
Field observation       Focus groups

Personas                Diary study

Interviews              Usability test
Card sorting            Expert review
Issues with User Research methods

 Data usually from small numbers

 Most methods take a snapshot in time

 Difficult to capture some behavior

 Setting sometimes artificial (e.g. lab test)
User Research is qualitative in nature
You get the ‘why’, but not the ‘big numbers’…
So, why should you combine these two methods?

User Research findings can help interpret web data

Web data can help focus the User Research

More certainty of findings (based on two sources)
The methods complement each other
Quantitative vs. Qualitative
Practical examples
The following 10 practical examples show

  How we combine these two methods in real projects

  A Web Analyst and User Researcher working together as a team

  User Research helping Web Analytics and the other way around

  What the added value is of combining methods
Practical examples (1/2)

 Creating realistic usability test scenarios

 Measuring the use of advanced features
 Understanding effectiveness of concept

 Validating usability test findings
 Identifying target audience

 Verifying user feedback
Practical examples (2/2)

 Explaining unintended landing pages

 Implications of unintended user-flows
 Interpreting bounce rate data

 Explaining abandonment rates
Why you should try it too

  Combining methods works!
  You can tell a story backed up with data

  Useful in different stages of a project
  Research, Design, Optimize

  One report with clear actions
  Presenting findings from two methods in one deliverable

  The combination works both ways!
  Web Analyst and User Researcher benefit from each other
Just remember…

Fruitful results can already be gained from basic analysis
You don’t need to be a Web Analytics expert, but it helps ;-)

Web Analytics tools do not magically provide the insights...

Measure the impact of your changes (optimize)

The UX team should make more use of Web Analytics!
It shouldn’t just belong to the IT or Marketing departments
What we want you to take away…

Find out what web data is available

Use it!..... Just try it! No more excuses ;-)

Web data will help you in different stages of a project

If important data is missing, try to get it measured it in the future

Integrate Web Analytics into your process and methods
User Intelligence
The presenters
             Martijn Klompenhouwer
             UX Researcher

             10 years UX experience
             7 years at User Intelligence


             Adam Cox
             Web Analyst

             6 years UX / Analyst experience
             2 years at User Intelligence
User Intelligence
It’s our goal to design interactive products that provide
great User Experiences, based on knowledge of both
the users and the business.

Services we offer:
• Research
• Design
• Optimize




www.userintelligence.com
Handbook of Global User Research

How to conduct Global User Research
written by the partners of the UXalliance
and other experts



Available in November 2009
published by Morgan Kaufman
(pre-order it now on Amazon!)
Thank you!
                                     user intelligence

                                     Amsterdam office
                                     www.userintelligence.com




Martijn Klompenhouwer
Klompenhouwer@UserIntelligence.com

Adam Cox
Cox@UserIntelligence.com

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Combining Methods: Web Analytics and User Research

  • 1. Combining Methods User Research and Web Analytics Martijn Klompenhouwer & Adam Cox EuroIA - September 25th, 2009
  • 2. Agenda About Web Analytics About User Research Why you should combine methods Practical examples Why you should try it too User Intelligence (about us)
  • 4. Web Analytics Definition "Web Analytics is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage.“ - The Official WAA Definition of Web Analytics
  • 5. What does the definition mean? Where are your users coming from? What are they doing? When and where do they leave?
  • 6. Some examples of Web Analytic measurements Referrals Visitors, visits and page views Popular pages Bounce rates Funnel analysis Path Analysis
  • 7. Issues with Web Analytics Data often perceived as boring statistics Implementation of WA tool not always correct Reports: just the facts, no insights, no actions
  • 8. Web Analytics is quantitative in nature To get insights, interpretation of the numbers is needed
  • 10. Some examples of User Research methods Field observation Focus groups Personas Diary study Interviews Usability test Card sorting Expert review
  • 11. Issues with User Research methods Data usually from small numbers Most methods take a snapshot in time Difficult to capture some behavior Setting sometimes artificial (e.g. lab test)
  • 12. User Research is qualitative in nature You get the ‘why’, but not the ‘big numbers’…
  • 13. So, why should you combine these two methods? User Research findings can help interpret web data Web data can help focus the User Research More certainty of findings (based on two sources)
  • 14. The methods complement each other Quantitative vs. Qualitative
  • 15. Practical examples The following 10 practical examples show How we combine these two methods in real projects A Web Analyst and User Researcher working together as a team User Research helping Web Analytics and the other way around What the added value is of combining methods
  • 16. Practical examples (1/2) Creating realistic usability test scenarios Measuring the use of advanced features Understanding effectiveness of concept Validating usability test findings Identifying target audience Verifying user feedback
  • 17. Practical examples (2/2) Explaining unintended landing pages Implications of unintended user-flows Interpreting bounce rate data Explaining abandonment rates
  • 18. Why you should try it too Combining methods works! You can tell a story backed up with data Useful in different stages of a project Research, Design, Optimize One report with clear actions Presenting findings from two methods in one deliverable The combination works both ways! Web Analyst and User Researcher benefit from each other
  • 19. Just remember… Fruitful results can already be gained from basic analysis You don’t need to be a Web Analytics expert, but it helps ;-) Web Analytics tools do not magically provide the insights... Measure the impact of your changes (optimize) The UX team should make more use of Web Analytics! It shouldn’t just belong to the IT or Marketing departments
  • 20. What we want you to take away… Find out what web data is available Use it!..... Just try it! No more excuses ;-) Web data will help you in different stages of a project If important data is missing, try to get it measured it in the future Integrate Web Analytics into your process and methods
  • 22. The presenters Martijn Klompenhouwer UX Researcher 10 years UX experience 7 years at User Intelligence Adam Cox Web Analyst 6 years UX / Analyst experience 2 years at User Intelligence
  • 23. User Intelligence It’s our goal to design interactive products that provide great User Experiences, based on knowledge of both the users and the business. Services we offer: • Research • Design • Optimize www.userintelligence.com
  • 24. Handbook of Global User Research How to conduct Global User Research written by the partners of the UXalliance and other experts Available in November 2009 published by Morgan Kaufman (pre-order it now on Amazon!)
  • 25. Thank you! user intelligence Amsterdam office www.userintelligence.com Martijn Klompenhouwer Klompenhouwer@UserIntelligence.com Adam Cox Cox@UserIntelligence.com