research-article

ID3P: iterative data-driven development of persona based on quantitative evaluation and revision

Authors:

Yasuhiro Watanabe,

Hironori Washizaki,

Yoshiaki Fukazawa,

Hiroyuki Shibata,

Mikako Ishigaki,

Satiyo Shiizaki,

Teppei Yamaguchi,

Tomoaki YagiAuthors Info & Claims

CHASE '17: Proceedings of the 10th International Workshop on Cooperative and Human Aspects of Software Engineering

Pages 49 - 55

https://doi.org/10.1109/CHASE.2017.9

Published: 20 May 2017 Publication History

Abstract

Personas are fictional characters used to understand users' requirements. Many researchers have proposed persona development methods from quantitative data (data-driven personas development). However, it is not assumed that personas in these works are used continuously and these personas cannot reflect on unpredictable changes in users. It is difficult to plan reliable strategies in a web service because users' preference dynamically changes. To develop more suitable personas for decision-making in a web service, this paper proposes Iterative Data-Driven Development of Personas (ID3P). In particular, to detect an unpredictable change in users' characteristics, our proposal includes an iterative process where the personas are quantitatively evaluated and revised in each iteration. 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.

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Cited By

Boyle RPledger RBrown H(2022)Iterative Mixed Method Approach to B2B SaaS User PersonasProceedings of the ACM on Human-Computer Interaction10.1145/35345236:EICS(1-44)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3534523
Salminen JJung SJansen B(2022)Developing Persona Analytics Towards Persona ScienceProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511144(323-344)Online publication date: 22-Mar-2022
https://dl.acm.org/doi/10.1145/3490099.3511144
Watanabe YWashizaki HHonda KFukazawa YTaga MMatsuzaki ASuzuki TZisman AApel S(2018)Retrospective based on data-driven persona significance in B-to-B software developmentProceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results10.1145/3183399.3183410(89-92)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183399.3183410

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Information & Contributors

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Published In

cover image ACM Conferences

CHASE '17: Proceedings of the 10th International Workshop on Cooperative and Human Aspects of Software Engineering

May 2017

109 pages

ISBN:9781538640395

Program Chairs:
Daniel Graziotin
University of Stuttgart
,
Rafael Prikladnicki
PUCRS
,
Meira Levy
Shenkar Engineering Design Art
,
Anita Sarma
Oregon State University
,
David Socha
University of Washington Bothell

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SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS: Computer Society
SADIO: SADIO

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IEEE Press

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Published: 20 May 2017

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ICSE '17

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IEEE-CS
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ICSE '17: 39th International Conference on Software Engineering

May 20 - 28, 2017

Buenos Aires, Argentina

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Overall Acceptance Rate 47 of 70 submissions, 67%

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Citations

Cited By

Boyle RPledger RBrown H(2022)Iterative Mixed Method Approach to B2B SaaS User PersonasProceedings of the ACM on Human-Computer Interaction10.1145/35345236:EICS(1-44)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3534523
Salminen JJung SJansen B(2022)Developing Persona Analytics Towards Persona ScienceProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511144(323-344)Online publication date: 22-Mar-2022
https://dl.acm.org/doi/10.1145/3490099.3511144
Watanabe YWashizaki HHonda KFukazawa YTaga MMatsuzaki ASuzuki TZisman AApel S(2018)Retrospective based on data-driven persona significance in B-to-B software developmentProceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results10.1145/3183399.3183410(89-92)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183399.3183410

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