Stefania Mereu – Conversionxl Building data-driven personas
This course will teach you to combine qualitative research with quantitative methods to build truly representative personas in a research-based method that is both fast and rigorous.
Class 1 Personas
This introductory lecture will guide the user through some general, but important considerations about the use of personas in an organization, and will present a few real world use cases. What are they? How do you build them? And why?
Class 2 Elements of good user personas
The lecture will explain what elements need to be included in personas, how to make personas actionable, and how to maximize personas effectiveness by adapting their elements to the context in which they’ll be used.
Class 3 Hypothesis-driven vs data-driven personas
The third lecture will present two approaches in the creation of user personas, and will rationalize advantages and disadvantages of each approach.
Class 4 Quantitative, data driven user segmentation
This lecture will introduce you to the data-driven, quantitative method of creating personas.
Class 5 Qualitative validation of user segments
This lecture will introduce you to the process of creating personas through qualitative techniques.
Class 6 Examples of personas for different industries
This lecture will follow up on Class 2, by presenting realistic use cases of personas for different industries. The lecture will explain which elements and data point are most useful for three different types of personas: customer personas, user personas, and marketing personas.
Class 7 Put it together and sell it
The process of packaging the persona is important to ensure that personas will be used in the organization. I’ll show how to package the personas to ensure effectiveness in the evangelization process.
Class 8 Practical examples and wrap-up
We’ll examine several examples of student submitted data, and try to imagine what kind of personas the data could generate.
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Stefania Mereu – Conversionxl Building data-driven personas: Videos, PDFs | Size:2.28 GB