Personas have broad applicability for digital innovation, giving their applicability for human centered user, customer, and audience understanding in activities such as product development, design, testing, content creation, and marketing. It is important that a persona is fictional (not an actual individual) yet realistic (based on real data from actual users). The persona technique has […]
Our team has been working on the question of how many personas to create for a while now. It’s an elusive questions that keeps us searching for a final answer that may not be out there. Regardless, we have been able to identify some factors relevant to this question. In this post, I’ll briefly go
Factors of selecting optimal number of personas Read More »
The Basics of Data-Driven Personas Data-driven personas can be generated from almost any data. Essentially, the generation consists of two steps: (1) pattern seeking, and (2) enrichment. The first part – pattern seeking – means that we need to identify some regularities (i.e., patterns) from the dataset. This is typically done using dimensionality reduction, e.g.,
Three Data Types for Personas Read More »
Persona and Persona Profile A persona is a humanized representation of a user segment, audience segment, or customer segment. The persona is presented in a persona profile. A persona profile is the actual representation of the persona. So, a persona is a conceptualize. The person profile is the physical manifestation of that concept. The persona
Elements of a Persona Profile Read More »
We are putting the finished touches on our book, Data-Driven Personas by Bernard J. Jansen, Joni O. Salminen, Soon-Gyo Jung, and Kathleen Guan, Hamad Bin Khalifa University (HBKU) and University College London. Morgan & Claypool Publishers. The book is comprised of 12 chapters (10 content chapters, plus an introduction and conclusion chapter) divided into 6
Data-Driven Persona Book: 3 Appendices for Making Personas Actionable Read More »
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
How suitable are artificially generated facial pictures in data-driven personas? Read More »
Following the proliferation of personified big data and data science algorithms, data-driven user personas (DDPs) are becoming more common in persona design. However, the DDP templates are seemingly diverse and fragmented, prompting a need for a synthesis of the information included in these personas. In this research, led by Joni Salminen, analyzing 31 templates for
