Skip to main content
SpringerLink
Log in

Data-Driven Persona Creation, Validation, and Evolution

  • Conference paper
  • First Online:
Requirements Engineering: Foundation for Software Quality (REFSQ 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13975))

  • 852 Accesses

Abstract

[Context and motivation] Personas are a well-known technique to represent a particular user type and stimulate software development. [Question/problem] Personas are often based on findings from ethnographic studies, and their creation can be time and effort intensive. Furthermore, validating the correctness of the Personas is an open issue. [Principal ideas/results] We advocate a data-driven approach that relies on analyzing various kinds of user data, in particular, user feedback and monitoring data, to create, validate, and evolve Personas. [Contributions] In this research preview paper, we discuss the problem we want to address with our research, formulate research questions, describe the initial technical solution, and present our planned contributions through a fictional usage scenario. Furthermore, we provide initial research results from an ongoing interview study that analyzes the use of Personas in practice.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://figshare.com/articles/online_resource/Data-driven_Persona_Creation_Validation_and_Evolution/21552111.

References

  1. Billestrup, J., Stage, J., Nielsen, L., Hansen, K.S.: Persona usage in software development: advantages and obstacles. In: The Seventh International Conference on Advances in Computer-Human Interactions, ACHI, pp. 359–364. Citeseer (2014)

    Google Scholar 

  2. Cooper, A.: The inmates are running the asylum. In: Software-Ergonomie’99, p. 17. Springer (1999)

    Google Scholar 

  3. Jung, S.G., Salminen, J., Jansen, B.J.: Giving faces to data: Creating data-driven personas from personified big data. In: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion, pp. 132–133 (2020)

    Google Scholar 

  4. Miaskiewicz, T., Kozar, K.A.: Personas and user-centered design: How can personas benefit product design processes? Des. Stud. 32(5), 417–430 (2011)

    Article  Google Scholar 

  5. Oriol, M., et al.: Fame: supporting continuous requirements elicitation by combining user feedback and monitoring. In: 2018 IEEE 26th International Requirements Engineering Conference (re), pp. 217–227. IEEE (2018)

    Google Scholar 

  6. Park, D., Kang, J.: Constructing data-driven personas through an analysis of mobile application store data. Appl. Sci. 12(6), 2869 (2022)

    Article  Google Scholar 

  7. Salminen, J., Guan, K., Jung, S.G., Jansen, B.J.: A survey of 15 years of data-driven persona development. Int. J. Human-Comput. Interact. 37(18), 1685–1708 (2021)

    Article  Google Scholar 

  8. Salminen, J., Guan, K., Nielsen, L., Jung, S.g., Jansen, B.J.: A template for data-driven personas: analyzing 31 quantitatively oriented persona profiles. In: Human Interface and the Management of Information. Designing Information: Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I 22. pp. 125–144. Springer (2020)

    Google Scholar 

  9. Tu, N., et al.: Combine qualitative and quantitative methods to create persona. In: 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering. vol. 3, pp. 597–603. IEEE (2010)

    Google Scholar 

  10. Walker, D., Myrick, F.: Grounded theory: an exploration of process and procedure. Qual. Health Res. 16(4), 547–559 (2006)

    Article  Google Scholar 

  11. Wieringa, R., Heerkens, H.: Design science, engineering science and requirements engineering. In: 2008 16th IEEE International Requirements Engineering Conference, pp. 310–313. IEEE (2008)

    Google Scholar 

  12. Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslén, A.: Experimentation in software engineering. Springer Science & Business Media (2012)

    Google Scholar 

  13. Zhang, X., Brown, H.F., Shankar, A.: Data-driven personas: Constructing archetypal users with clickstreams and user telemetry. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5350–5359 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Applied Sciences and Arts Northwestern Switzerland, Windisch, Switzerland

    Nitish Patkar & Norbert Seyff

Authors
  1. Nitish Patkar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Norbert Seyff
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nitish Patkar .

Editor information

Editors and Affiliations

  1. CNR ISTI, Pisa, Italy

    Alessio Ferrari

  2. Chalmers Tekniska Högskola, Gothenburg, Sweden

    Birgit Penzenstadler

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Patkar, N., Seyff, N. (2023). Data-Driven Persona Creation, Validation, and Evolution. In: Ferrari, A., Penzenstadler, B. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2023. Lecture Notes in Computer Science, vol 13975. Springer, Cham. https://doi.org/10.1007/978-3-031-29786-1_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-29786-1_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-29785-4

  • Online ISBN: 978-3-031-29786-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation