In this session, we discussed how UX/Product and Analytics teams can work together to understand user behavior by examining the relationships between specific KPIs and doing advanced analysis of behavioral patterns using machine learning. We talked about why UX/design researchers would want to take this approach to researching user behavior, how Machine Learning is used to analyze user behavior, and the pros and cons of using this method.
More Talks by Stephanie
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Lesson learned: looking at more than one metric to inform your designs
TopicsData, Design Strategy
As a designer in ecommerce, it's tempting to try to find that one customer metric to...
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Design Ethics: Inclusivity in the Design Process
TopicsDesign Strategy, Design Thinking, Diversity & Inclusion
UX, collaboration and "listening to the customer" have increasingly become a standard...
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Sensemaking Lessons
DisciplineInformation Architecture
TopicsLeadership
Speaker Abby Covert
The following is a talk I delivered on October 28, 2020 at the Annual Federal Plain...
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Shrink It & Pink It: Designing Experiences for Women
DisciplineUser Experience
TopicsDiversity & Inclusion
Speaker Jessica Ivins
Jessica Ivins' on 'Shrink It & Pink It: Designing Experiences for Women' Girl...
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Applying qualitative research processes to government initiatives
DisciplinesUser Experience, User Research
TopicsCommunication, Data, Storytelling
IndustryGovernment
Speaker Meena Kothandaraman
The Mayor’s Housing Innovation Lab (Housing iLab) was tasked with creating...
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