automatic persona generation

Using Data-Driven Personas for Enhanced User Segmentation

User segmentation is the practice of dividing potential or existing users into groups that share similar characteristics. As such, user segments go hand in hand with data-driven personas!  User segmentation is employed as a user understanding technique by nearly every product team. Think of it this way! The ultimate goal of product design or product […]

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Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

As paper-based personas move to interactive persona analytics systems, online companies face large user populations, making segmentation a daunting exercise, along with creating actionable data-driven personas from these large datasets. In this research, we demonstrate an approach that facilitates user segmentation. The approach leverages product dissemination and product impact metrics with normalized Shannon entropy. 

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Artificial and Real Images

How suitable are artificially generated facial pictures in data-driven personas?

In a previous post, we analyzed the demographic Bias in Artificially Generated Facial Pictures that raised a concern that the generated images might not fairly represent all demographic groups. In this post, we discuss if these artificially generated pictures are good enough for use in personas profiles for real-world systems and applications,  which are highly

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