Algorithmically-Generated Personas paired with AI-Generated Pain Points Detection

One does not often hear personas, AI, and pain points mentioned together. However, the combination can provide better situational awareness and better brainstorming on addressing customer pain points. It is analogous to a mixed-methods approach!   Artificial intelligence carries a high potential to automatically detect customers’ pain points, which is a particular concern the customer […]

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Personas: a data visualization technique

Although often touted as a design technique, personas are more accurately viewed as a data visualization option, similar to tables, charts, or graphs. Personas were proposed to represent perceived users, customers, or audience members. In practice. personas are often used to represent current users, customers, or audience members. Personas can be a valuable data visualization

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Generate Personas from GA4 Data

What does using Google Analytics 4 mean for algorithmically generating personas? Google Analytics 4 (GA4) is an analytics service that measures traffic and engagement across websites and apps.  With the forced move from Google Universal Analytics (UA), a.k.a., Google Analytics, to GA4, on July 1, 2023, web properties using Universal Analytics will no longer be

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Developing Persona Analytics Towards Persona Science

Much of the reported work on personas suffers from the lack of empirical evidence. To address this issue, we introduce Persona Analytics (PA), a system that tracks how users interact with algorithmically-generated personas. PA captures users’ mouse and gaze behavior to measure users’ interaction with algorithmically generated personas and use of system features for an interactive

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Personas in the Era of Privacy-Protected User Analytics

An important observation: the value of personas in Web analytics is likely to increase with the current changes in digital privacy. This is because the platforms need to move into more non-personified systems and methods. Personas are exactly about this: making individual customer data aggregated. In fact, Google planned a system (that they already sort

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Do players communicate differently depending on the champion played? Exploring the Proteus effect in League of Legends

Interested in online gaming research? You might find this article of interest. In a different take on ‘personas’, we investigate how the Proteus effect, which is players changing their way of communication based on characters with which they play, is associated with players’ champion usage in the popular online game League of Legends, where champions

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Toxic Text in Personas: An Experiment on User Perceptions

When algorithms create personas from social media data, the personas can become noxious via automatically including toxic comments. To investigate how users perceive such personas, we conducted a 2 × 2 user experiment with 496 participants that showed participants toxic and non-toxic versions of data-driven personas. We found that participants gave higher credibility, likability, empathy,

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