Mining whining in support forums with frictionary

  • Authors:
  • Andrew Ko

  • Affiliations:
  • University of Washington, Seattle, Washington, USA

  • Venue:
  • CHI '12 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2012

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Abstract

Millions of people request help with software in support forums, creating a massive repository of user experiences ripe for mining. We present Frictionary, a tool for automatically extracting, aggregating, and organizing problem described in support forums, enabling timely problem frequency and prevalence metrics. We applied it to 89,760 Firefox support requests from 4 sources gathered over 10 months. Interviews with the Firefox principal designer and support lead suggest that Frictionary could be a useful tool for prioritizing engineering efforts, but that the extraction would need to be more precise to be useful.