Added by Geoff Sauer on Jan 18, 2003.
Average rating: 2.33/5.00 (n=3, std dev: 1.53)
 


This paper discusses the use of automated data collection to learn from hundreds of beta-test users of a web-based industrial product database how successfully the product met their needs. The collected data consisted of web server log data, opinion data from online questionnaires and follow-up interviews, and user profile data from telerecruiting and online registration was also collected. In the Proceedings of the 1998 Usability Professionals' Association Conference.
 
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