Helping Professionals Select Persona Interview Questions Using Natural Language Processing

Helping Professionals Select Persona Interview Questions Using Natural Language Processing
Helping Professionals Select Persona Interview Questions Using Natural Language Processing

Personas are often created based on user interviews. Yet, researchers
rarely make their interview questions publicly available or justify how they were chosen.

In this research, lead by Joni Salminen, we manually extract 276 interview questions and categorize them into 10 themes. The 10 theme
taxonomy was created based on abduction, i.e., a qualitative technique that involves using both pre-existing knowledge and also analyzing the emerging properties of the data making this list publicly available for researchers and practitioners.

The themes for the interview questions are:

  • Demographics
  • Life Situation
  • School Life
  • Work-Life
  • Decision Making
  • Information Sources
  • Consumer Habits
  • Pain Points
  • Marketing Team
  • Sales Team

We also demonstrate an approach of using natural language processing to assist in selecting persona interview questions for a given use case.

Salminen, J., Chhirang, K., Jung, S.G., and Jansen, B. J. (2021) Helping Professionals Select Persona Interview Questions Using Natural Language Processing, INTERACT 2021 18th IFIP TC13 International Conference on Human–Computer Interaction. 30 Aug. – 3 Sept. Bari, Italy.

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