Joni Salminen

Dr. Joni Salminen works as a Scientist at Qatar Computing Research Institute, Hamad Bin Khalifa University, and as a Postdoctoral Researcher at Turku School of Economics, University of Turku. His research interests are heavily focused on personas, including topics such as automatic persona generation from social media data (YouTube, Facebook, Google Analytics), persona perceptions, biases in data-driven personas, optimal number of personas, etc.

The Four Pillars of Society: Thinkers, Creators, Doers, and Deciders

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 […]

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How many personas to create? (And why it’s probably more than what you think!)

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.

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The Persona Value Pyramid: Understanding the Three-Tiered Relationship

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

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Exploring the Evolution of Generative AI: From Deepfakes to Deepfake Personas

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

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Risks and limitations of LLM-generated personas

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

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How can Gen AI help in persona creation and application?

Persona creation and application deals with creating personas based on data (i.e., data-driven personas) and then applying them in organizational use cases, e.g., marketing a business. The process typically involves four main steps: 1. data collection — we collect the data about users or customers 2. persona creation — we created personas from this data

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