Data-Driven Personas

A Literature Review of Quantitative Persona Creation

Quantitative persona creation (QPC) has tremendous potential, as HCI researchers and practitioners can leverage user data from online analytics and digital media platforms to better understand their users and customers. However, there is a lack of a systematic overview of the QPC methods and progress made, with no standard methodology or known best practices. To […]

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Manually and Automatically Generated Personas

While there have been attempts to “modernize” personas by automating their creation and tying the concept to behavioral online analytics data, the question remains: can data-driven personas offer efficiency and/or effectiveness value relative to other analytics approaches and data representations for user understanding tasks? This question remains largely unaddressed in the previous research, even for personas

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Can Your Personas be Biased?

In research led by Joni Salminen, we investigate the existence of demographic bias in automatically generated personas by producing personas from YouTube Analytics data. Despite the intended objectivity of the methodology, we find elements of bias in the data-driven personas. The bias is highest when doing an exact match comparison, and the bias decreases when

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