Download as PDF, PPTX
Uploaded byPaul Veugen
Quantifying User Experience (UX)
This document discusses the evolution of quantifying user experience over time. It traces the development of tools and methods for observing user behavior from pen and paper tests in the 1980s to modern remote usability testing platforms in 2009. Both qualitative and quantitative methods are examined, ranging from conceptual attitude-based approaches to concrete behavior-based metrics. The document advocates combining both qualitative and quantitative data sources to develop a robust understanding of user experience.
More Related Content
Similar to Quantifying User Experience (UX)
Quantifying User Experience (UX)
- 1. Quantifying UX Thelab versus the real world
- 2. How did Iend up here?
- 3. 2003-2010 Tilburg University Design of Business Communication
- 4. 2000-2010 Design, communication, research,and consulting
- 5. 2009-now cc adactio
- 6.
- 7. ‘Plus-minus method fortext evaluation’
- 8.
- 11.
- 12.
- 15.
- 16.
- 17.
- 19.
- 22. How do weobserve behavior?
- 23.
- 24.
- 26. 2007 Clicktale, CrazyEgg,Kampyle
- 28.
- 29.
- 31.
- 33.
- 35.
- 37.
- 39.
- 40.
- 41.
- 43.
- 45.
- 47.
- 49.
- 51.
- 53.
- 55.
- 57. Qualitative Conceptual Concrete Quantitative
- 58. Qualitative UserTesting TryMyUI Userlytics OpenHallway Conceptual Concrete Kampyle Usabilla Loop11 Websort Userfly Treejack Optimalsort Chalkmark Clicktale CrazyEgg Google Analytics Quantitative
- 59. Source: Nate Bolt,Bolt | Peters / Ethnio - http://boltpeters.com
- 60. Source: Nate Bolt,Bolt | Peters / Ethnio - http://boltpeters.com
- 61.
- 62.
- 63. Behavior vs Attitude Source:the narrow minded usability consultant.
- 64. Usability effectiveness efficiency
- 65. Usability effectiveness efficiency satisfaction
- 66. behavior = objective effectiveness efficiency satisfaction
- 67. behavior = objective attitude = subjective effectiveness efficiency satisfaction
- 69. User Experience Findable Desirable Accessible Valuable Credible Usable
- 71. User Experience Findable Desirable Accessible Valuable Credible Usable
- 72. ‘self reported data’hoax Some background: http://www.creative-wisdom.com/teaching/WBI/memory.shtml
- 74.
- 75.
- 77. Behavior: Conversion rates, task performance, time on Hardcore task, bounce rate, error rates, click-through rate, shares, bookmarks, etc
- 78. Attitude: Satisfaction, ratings, credibility, sentiment analysis, feedback, trust, Shell like / dislike, etc Soft
- 79.
- 80.
- 81.
- 86.
- 87. Commercial break The mosttouch friendly survey !"#$%&#"'$!()%#*+,+!-
- 88.
- 89.
- 90.
- 91.
- 94. Thanks for yourattention! E-mail: paul@usabilla.com Twitter: @pveugen Website: usabilla.com Paul Veugen Usabilla.com !"#$%&#"'$!()%#*+,+!-