Disclaimer: Parts of this blog post were written by ChatGPT (GPT-3.5). The author has verified the content for accuracy and fluency. The topic of leveraging Language Models (LLMs) for persona generation is undeniably intriguing. The application of cutting-edge deep learning techniques to automate the creation of personas opens up new possibilities for understanding user needs […]
Risks and limitations of LLM-generated personas Read More »
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 »
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
Customer Understanding for SMEs Customer understanding is an integral part of a business, whether a big business, a small to medium-sized enterprise (SME), or small to medium-sized business (SMB), and it is crucial for a small business in a competitive market. Customer personas can help your SME in this customer understanding. Though it may seem
SME Personas: Creating Customer Personas for Small to Medium-sized Enterprises Read More »
TL;DR: A big challenge for data-driven personas is that their users rarely participate in their creation. This evokes the question of how to develop techniques that enable participatory design of data-driven personas. There is a line of thought within persona research that argues something like this: personas are less useful than their creation process. The
Why Personas Could Be Less Useful than the Process of Creating Them Read More »
Without further ado, here are nine things that people often get wrong about personas (based on our experience): Personas are not based on real data. WRONG! This misconception stems from the era when personas were predominantly created based on interviews. The thing is, interviews are also real data. But, nonetheless, the argument was that since
Nine Things People Get Wrong About Personas Read More »
The problem with mean-centered personas (i.e., those that describe average, typical users) is the general problem with the mean: if half of your users are right-handed and half are left-handed, should your persona be middle-handed?
No Persona is Average: The Problem with Mean-Centered Personas Read More »
