The goal of this class is to demystify the buzz around metrics, analytics, and data. For every digital product, there are numerous key performance metrics (KPI) that management has to monitor. Furthermore, product design decisions should also be data driven. We will go over how to make design decisions based on metrics from Google Analytics, A/B testing, eyetracking data, social media stats such as bit.ly. Oftentimes, there is too much data and reports; this class shows you how to streamline analytics installation, tracking, monitoring, and reporting processes to make your product development and design decisions data driven.
Pace University in City Hall
Seidenberg School of CSIS 163 William Street, 2nd Floor, Room 237
New York, NY
The interactive class will focus on:
7:00 pm - 9:00 pm EDTAdd to Cal
Hong Qu builds social media tools that help us better understand ourselves and the world around us. As an early employee of YouTube, he led teams of designers and engineers to launch key features such as the homepage, channels, and playlists. Besides YouTube, Hong has worked at Google and various start-ups in New York City and Silicon Valley. Hong has a Master's degree from UC Berkeley's School of Information focusing in social media practice and research.