Data-Driven Personas

Three Data Types for Personas

The Basics of Data-Driven Personas Data-driven personas can be generated from almost any data. Essentially, the generation consists of two steps: (1) pattern seeking, and (2) enrichment. The first part – pattern seeking – means that we need to identify some regularities (i.e., patterns) from the dataset. This is typically done using dimensionality reduction, e.g.,

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Using Data-Driven Personas with Scenarios, Participatory design, Card sorting, Serious games, or Agile development

Data-Driven Personas are algorithmically created from user behavioral and demographic data. These analytic personas are a valuable Human Computer Interaction (HCI) design technique in themselves, especially when incorporated into an interactive persona analytics system.

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Using Data-Driven Personas for Enhanced User Segmentation

User segmentation is the practice of dividing potential or existing users into groups that share similar characteristics. As such, user segments go hand in hand with data-driven personas!  User segmentation is employed as a user understanding technique by nearly every product team. Think of it this way! The ultimate goal of product design or product

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