A study on developing a data-based new and returning user persona model for web services

다국어 초록 (Multilingual Abstract)

Data-driven design based on actual usage data is becoming more important in the field of userexperience design. The goal-oriented design process based on a persona is a typical process in UXdesign. Persona has traditionally focused on generating rich user backgrounds, contexts, andscenarios based on qualitative data from individual user interviews. However, traditional qualitativeresearch-based personas are costly, time consuming, and lack reliable data, so there is a growingdemand for data complements with log analysis. This paper proposed a persona modeling methodbased on data-analysis software and a case study presented the value and application of the data–based persona with expert evaluation. Specifically, this study used data analysis tools such asGoogle Analytics, which is a representative data analysis tool, and Beusable, which is newlydeveloped data visualization analysis software in the page, to define the data types used inpersonas. The Beusable homepage was selected as a case study subject and new visitor and returnvisitor data-based personas were modeled. In addition, data-based personas were evaluated byexperts. Data-based personas for new and returning visitors were found to be useful in identifyinguser behavior patterns, confusing factors, and design problems for the website. The perceived valueof a two-page persona was higher than the perceived value of a one-page persona model.

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14 이지현, "A Study on the developing data-based referrer persona for web service" 한국디지털디자인학회 17 (17): 71-80, 2017