The 3.5s dash for attention and other stuff we learnt from RUM
We've seen reports from various companies about how changes in page load time affect conversions. We've also seen user surveys that tell you how quickly users expect pages to load. These are interesting numbers, but we wanted to look at things a little differently. Can we tell how different types of users react to page load times without actually asking them? How do user expectations change over time? How do I decide whether a performance problem is really something I should spend time fixing, or if it's okay to leave it be? How do we collect this data, and what do we do with it before it's clean enough to draw insights from?
In this talk we'll try and answer many of these questions.
And as a bonus, ask us how we reduce our Heisenberg coefficient to a minimum.
About Philip Tellis
Philip Tellis is a geek and the Chief RUM distiller at SOASTA. When he's not pulling numbers out of a cask, he spends his time cycling around Cambridge or cooking with his wife (but not at the same time).
Philip is bluesmoon on freenode, twitter (https://twitter.com/bluesmoon), github (https://github.com/bluesmoon) and a few other online networks.
The event is hosted at LinkedIn on Tuesday May 14th, 2013 at 7PM. Doors open at 6:30PM. Food and drinks will be provided at the meetup.
* 18:30 :: Check-in, Mingle, Eat
* 19:00 :: Introductions & Presentation
* 20:00 :: Questions and Answer & Open Form
* 20:30 :: Networking & Discussion
SPECIAL THANKS TO OUR SPONSORS:
O'Reilly Velocity Conference (http://velocityconf.com/velocity2013/) - O'Reilly Velocity Web Performance and Operations Conference
Akamai (http://www.akamai.com/) - Optimize Content & Media Delivery
Strangeloop (http://www.strangeloopnetworks.com/) provides advanced front-end optimization (FEO) solutions to companies like eBay/PayPal, Visa, and O'Reilly Media.
SOASTA (http://www.soasta.com/) - SOASTA’s web and mobile app test automation solution enables teams to test with unprecedented speed, scale and precision.
LinkedIn (http://www.linkedin.com/) - LinkedIn operates the world’s largest professional network.