Personas

How are Personas Used in Real Organizations?

What are Personas and Why Use Them? Personas are fictional characters or ‘profiles’ that portray a certain type of customer or user. The development of a persona should go beyond just providing background information on the organization’s ideal customers. The persona profile should also include other features, such as current behaviors the persona exihibits as […]

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Usefulness of Personas in Age of Digital Analytics

In this post, I’m exploring the usefulness of personas in the era of digital analytics. At Qatar Computing Research Institute, we have developed a system for automatic persona generation (APG) – see the demo. Under the leadership of Professor Jim Jansen, we’re constantly working to position this persona system at the intersection of customer profiles, personas,

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How to Create Personas? A List of Common Interview Questions

Creating Personas from Data At Qatar Computing Research Institute, our persona team has developed a system for automatic persona generation (APG). The demo of this persona system is available online, and we have also posted about the various benefits of data-driven personas. As a part of our persona research, we are interested in the information

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Imaginary People Representing Real Numbers: Generating Data-Driven Personas Using the APG System

Using the APG system for automatic persona creation from real data is both a working system and an on-going research project. With APG, we have developed a methodology to automate the creating of imaginary people. These imaginary people are personas. We do this by processing complex behavioral and demographic data of social media audiences.

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How to Use Personas? Listing Typical Persona Use Cases

Introduction to Persona Use Cases Personas are imaginary people representing the core audience or customers of a company or organization. Personas were introduced into software development and marketing in the 1990s. Personas capture and describe key elements of customer segments so that decision makers could better understand their users or customers, not only by using

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