Data driven UX decisions
Understand the principles of data driven decision making when it comes to User Experience. Explore a few examples around the topic.
Improving user experience is part art and part science. This talk would focus on the science.
Making data driven decisions for a website involves:
- Tracking all user actions along with contextual variables
- Identifying gaps in the experience, or opportunities, by look at the tracked data
- Coming up with a list of hypotheses around possible reasons for the gaps
- Figuring ways to validate the hypotheses and narrowing the list down
- Releasing features or UX improvements to address the gaps
- Isolating and measuring the impact of these features or improvements
- Letting the fittest features or improvements survive, and iterating this process
We’ll explore each of these steps in detail, along with relevant examples.
Who would find it useful?
- Online product managers(beginners)
- Startup folks working on an online product
- Frontend Engineers and Engineers aspiring to be PMs
- UX and UI designers
In my last stint, I started a company, which got backed by YCombinator. We built a product called Markupwand to convert Photoshop designs to HTML and CSS.
Before starting up, I was the Product Manager for Myntra.com’s frontend, where I more than doubled the number of purchases per 100 visitors(conversion rate) by creating a good user experience and improving on it with the support of data.
Prior to this, I worked as a full stack engineer at Yahoo! and a Flash game developer at Zynga.