Persona System

There Will Always Be Subpersonas

One of the main challenges in creating personas is deciding “where to draw the line”, i.e., making judgment calls of what information to include into the persona profiles and how many personas to create. Ideally, we’d include all the information that the eventual persona users need and nothing else. Ideally, we’d create as many personas […]

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MIT Tech Review Article About APG: Making better decisions with big data personas

Nice write up about persona analytics, as created by APG, in MIT Technology Review! How personas and data work together With increasing analytics data, personas can now be generated using big data and algorithmic approaches. This integration of personas and analytics offers impactful opportunities to shift personas from flat files of data presentation to interactive

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The book, Data-Driven Personas

Our book on “Data-Driven Personas” is now available. Authored by Dr. Jim Jansen, Joni Salminen, Soon-gyo Jung of QCRI & Kathleen Guan of UCL You can get your copy of the book via Morgan & Claypool Publishers Or through Amazon Data-Driven Personas Jansen, B. J., Salminen, J., Jung, S.G., and Guan, K. (2021). Data-Driven Personas. Synthesis Lectures on Human-Centered Informatics,1 Carroll, J.

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APG calculates the number of customers represented by each persona!

APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web/social media analytics. APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty rating, customer interests, product interactions, brand sentiment, and

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What do you get in an APG persona profile?

APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web/social media analytics. APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty rating, customer interests, product interactions, brand sentiment, and

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