Personas changing over time: Analyzing variations of data-driven personas during a two-year period

Soon Gyo Jung, Bernard Jansen, Joni Salminen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the critiques of personas is that the underlying data that they are based on may stale, requiring further rounds of data collection. However, we could find no empirical evidence for this criticism. In this research, we collect monthly demographic data over a two-year period for a large online content publisher and generate fifteen personas each month following an identical algorithmic approach. We then compare the sets of personas month-over-month, year-over-year, and over the whole two-year period. Findings show that there is an average 18.7% change in personas monthly, a 23.3% change yearly, and a 47% change over the entire period. Findings support the critique that personas do change over time and also highlight that changes in the underlying data can occur within a relatively short period. The implication is that organizations using personas should employ ongoing data collection to detect possible persona changes.

Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
Publication statusPublished - 2 May 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
CountryUnited Kingdom
CityGlasgow
Period4/5/199/5/19

Keywords

  • Online data representations
  • Personas
  • Web analytics

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Jung, S. G., Jansen, B., & Salminen, J. (2019). Personas changing over time: Analyzing variations of data-driven personas during a two-year period. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [3312955] (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290607.3312955

Personas changing over time : Analyzing variations of data-driven personas during a two-year period. / Jung, Soon Gyo; Jansen, Bernard; Salminen, Joni.

CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. 3312955 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jung, SG, Jansen, B & Salminen, J 2019, Personas changing over time: Analyzing variations of data-driven personas during a two-year period. in CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., 3312955, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, United Kingdom, 4/5/19. https://doi.org/10.1145/3290607.3312955
Jung SG, Jansen B, Salminen J. Personas changing over time: Analyzing variations of data-driven personas during a two-year period. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2019. 3312955. (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3290607.3312955
Jung, Soon Gyo ; Jansen, Bernard ; Salminen, Joni. / Personas changing over time : Analyzing variations of data-driven personas during a two-year period. CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. (Conference on Human Factors in Computing Systems - Proceedings).
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