Personas

Ideas for Persona Research Using Quantitative User Analytics

/

What Are Personas and Why Should We Care? Personas, commonly applied in human-computer interaction (HCI) (Cooper, 1999), design (Aoyama, 2007), and business domains such as marketing and sales (Salminen et al., 2018), are fictional depictions of end-users, patients, customers, or other groups of interest (Cooper, 1999). Personas are cited to have many benefits, at least […]

Ideas for Persona Research Using Quantitative User Analytics Read More »

Creating More Personas Improves Representation of Demographically Diverse Populations: Implications Towards Interactive Persona Systems

/

Personas represent distinct user types. However, while online user data can be demographically and behaviorally heterogeneous, most studies generate less than ten personas, regardless of how heterogeneous the data is. Because all persona creation efforts need to assign a number of personas to create, assigning this number evokes a fundamental question, How many personas to

Creating More Personas Improves Representation of Demographically Diverse Populations: Implications Towards Interactive Persona Systems Read More »

Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments

/

Derived from the notion of algorithmic bias, it is possible that creating user segments such as personas from data results in over- or under-representing certain segments (FAIRNESS), does not properly represent the diversity of the user populations (DIVERSITY), or produces inconsistent results when hyperparameters are changed (CONSISTENCY). Collecting user data on 363M video views from

Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments Read More »

Personas as a Exploratory Data Analysis Technique

/

Exploratory data analysis (EDA) explores and analyzes a data set using descriptive statistics and visualizations to learn about the dataset. The main motivations for EDA are: detecting data errors testing assumptions about the data selecting appropriate models determining relationships among the explanatory variables accessing the direction and magnitude relationships between explanatory and outcome variables. However,

Personas as a Exploratory Data Analysis Technique Read More »

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

Algorithmically-Generated Personas paired with AI-Generated Pain Points Detection Read More »

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

Personas: a data visualization technique Read More »

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

Generate Personas from GA4 Data Read More »

Scroll to Top