Created using ChatGPT-4 (February 2024). Here is the prompt: “Write a blog post about this: Four personas that run the society 1. Thinker 2. Creator 3. Doer 4. Decider Give examples of professions belonging to each persona, as well as details of the types of people belonging to the persona.” Manual edits (mostly minor wording […]
How many personas to create? Let’s assume you want the personas to represent your customer base. Let’s assume you have 1000 customers. Your upper boundary would be 1000 personas, one for each customer. This would be 100% representative of your data. Your lower boundary would be 1 persona, describing the most typical or average customer.
DISCLAIMER: This post was produced in collaboration with AI (ChatGPT-4, September 2023 version). The content has been verified by a human subject matter expert for veracity and relevance and modified where appropriate. At the heart of creating value with personas lies the “Persona Value Pyramid“. This hierarchical model delves deep into the three crucial levels
Introduction In recent years, Generative AI has emerged as a double-edged sword, with its capabilities spanning from creative content generation to controversial deepfake technology. While deepfakes have garnered negative attention for their potential misuse (e.g., the spread of misinformation, fake news, or stories that intend to produce harm to others), they also hold great promise
Personas are fictitious people that represent a group of users bringing e.g., designers closer to the end user. Personas are widely used in various solutions in design, HCI, and marketing, and personas are classically delivered as pdf’s but sometimes also as videos, or narrative text personas. Deepfakes, then again, are computer-generated human-like characters usually presented
Hi all! Here are three axioms about personas: The value of personas is difficult to prove. The value of personas is likely to depend on the specific task. The value of personas can be direct or indirect. By the first one, I mean that personas is an analytics approach. How do you prove that analytics
How Does an Imaginary Persona’s Attractiveness Affect Designers’ Perceptions and IT Solutions? An Experimental Study on Users’ Remote Working Needs
The “what is beautiful is good” (WIBIG) effect implies that observers tend to perceive physically attractive people in a positive light. In this research, led by Joni Salminen, we investigate how the WIBIG effect applies to user personas, measuring designers’ perceptions and task performance when employing user personas for the design of information technology (IT)