ID3P: Iterative Data-Driven Development of Persona based on quantitative evaluation and revision
Yasuhiro Watanabe(*), Hironori Washizaki(*), Kiyoshi Honda(*), Yuki Noyori(*), Yoshiaki Fukazawa(*), Aoi Morizuki, Hiroyuki Shibata, Kentaro Ogawa, Mikako Ishigaki, Satiyo Shiizaki, Teppei Yamaguchi and Tomoaki Yagi * Waseda University
CHASE 2017 (10th International Workshop on Cooperative and Human Aspects of Software Engineering), 2017/5
- Personas are fictional characters used to understand users’ requirements. Many researchers have proposed persona development methods from quantitative data (data-driven personas development), but practical issues about running a service have yet to be discussed. This paper proposes Iterative Data-Driven Development of Personas (ID3P). In particular, to detect a change in users’ characteristics, our proposal includes an iterative process where the personas are quantitatively evaluated and revised in each iteration. ID3P helps service manager who are unfamiliar with UX techniques to understand about users on a web service quantitatively. Moreover, it provides a quantitative evaluation of business strategies based on GQM+Strategies and personas. To verify our proposal, we applied it to Yahoo! JAPAN’s web service called Netallica.
ID3P: Iterative Data-Driven Development of Persona based on quantitative evaluation and revision（External Site Link）