Persona Creation

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

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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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Mixed Methods Personas: Strengths and Weaknesses

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Personas are a technique for enhanced understanding of users and customers to improve the user-centered design of systems and products. Their creation can be categorized using three persona creation methodologies: Qualitative, Quantitative, and Mixed Methods. In this post, we describe the Mixed Methods method and discuss the strengths and weaknesses of this methodology for persona

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Personas for your non-customers – the Edge, the Refuse, and Unknown non-customers

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Personas can be a force multiplier in reaching your three categories of non-customers – the Edge Non-customers, the Refuse Non-customers, and Unknown Non-customers. Algorithmically-Generated Personas are great for humanized representation of your existing customers presented in understandable chunks of information. These data-driven personas are great for team communication while creating content and designing systems, along

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Qualitative Personas: Strengths and Weaknesses

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Personas are a technique for enhanced understanding of users and customers to improve the user-centered design of systems and products. Their creation can be categorized using three persona creation methodologies: Qualitative, Quantitative, and Mixed Methods. In this post, we describe the Qualitative method and discuss the strengths and weaknesses of this methodology for persona development.

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Toxic Text in Personas: An Experiment on User Perceptions

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When algorithms create personas from social media data, the personas can become noxious via automatically including toxic comments. To investigate how users perceive such personas, we conducted a 2 × 2 user experiment with 496 participants that showed participants toxic and non-toxic versions of data-driven personas. We found that participants gave higher credibility, likability, empathy,

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Why Personas Could Be Less Useful than the Process of Creating Them

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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

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