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DataDriven UX Design

12/11/2013 6:00 PM - 8:30 PM


This class demystifies the buzz around metrics, analytics, and data. For every digital product, there are strategic level key performance metrics (KPI) that management has to monitor. On the tactical level, product design decisions should be data driven.

This class will demonstrate how to make actionable design decisions based on metrics from Google Analytics, A/B testing, eyetracking data, social media and real-time stats. Oftentimes, there is excessive data and reporting; this class shows you how to streamline analytics installation, tracking, monitoring, and reporting processes to make your product development and design decisions systematically data driven.


Overview of how to set key performance metrics (KPIs)

Best practices for monitoring success metrics

Build a customer lifecycle analysis framework

Step by step walkthrough of analytics tools

Become familiar with next generation packages such as Mixpanel and Optimizely

Segment users into a ladder of engagement that is actionable for Product Design




Hong Qu

UX Designer,

Google, YouTube, Gilt, Upworthy

As a User Interface Designer and one of the first employees at YouTube, Hong Qu designed, coded, and launched vital parts of the site such as the homepage, sharing tools, channels and video responses. Additionally, Hong conducted UX Research with various teams at Google. In 2012, he led the product team at Upworthy from its inception. His responsibilities included driving user acquisition, virality, and engagement.

Currently, Hong is a Nieman Fellow at Harvard. In addition to teaching UX with General Assembly in the past, Hong is an Adjunct Professor at the CUNY School of Journalism. Hong has a liberal arts degree from Wesleyan University and a Master's degree from UC Berkeley's School of Information with a focus on social computing and mobile interface design.


Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

Learn More: DataDriven UX Design

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