Facebook has to be one of the most interesting applied examples that can be presented because of the hug number of users it currently has.
I had the opportunity of listening to Mark Trammell talk about Twitter on last year’s Web App Masters Tour at Philadelphia, and now I was able to listen to Julie Zhuo talk about Facebook.
Here are my notes on what she had to say:
- Data helps us understand how products are used and how they can be improved
- Photo uploading had been outsourced and the code was a mess. It wasn’t reliable and it was poorly designed.
- Facebook redesigned a very cool experience of photo uploading but it wasn’t that accessible for users because of the need to download a plugin – Only 34% of the users tested were successful
- Change to a more native feel, with a simple workflow, increases 11% of success rate.
- Data can be used to sanity check changes to a product
- The composer example – changes in the main status update process in an attempt to increase sharing.
- Qualitative data also has a value in these tasks, but it’s mainly for understanding how users feel.
- You can spot specific use cases that are common with the interaction between your users and the product
- New moms are a very intense use case amongst Facebook users.
- Enterprises that want social media presence are also very active users. Not only big companies with social media departments, but also small companies with lesser knowledge of it.
- Growth of Facebook users – Process fragmentation can improve the experience
- Sign-up process fragmentation brought a 3% increase in sign-ups (which is equivalent to 9 million more users a year, the size of the population of Sweden).
- Deactivation process – Giving it the feeling that your friends on Facebook will miss you reduced the deactivations by 7%, which is equivalent to 1 million users a year.
- Facebook created a team focused on user engagement.
- Reads and writes were the first statistics considered, but 85% of them are generated by the 20% of the users, which rendered them not as useful as defining data.
- They believe real innovation invariably involves disruption – The news feed addition was hated at first, but it was related to their aversion to change.
- With such a stratospherically big amount of users, changes to the product can’t just go live without previously recollected and solid data.
- The greatest mistake, for them and for everyone, is taking no risks.
She also talked about how they considered the Dislike button but decided it was a risk not worth taking since you could better express that ‘dislike’ through comments and it was more appropriate way to do it. I found that interesting, since a lot (and that’s A LOT) of people have wondered about it in the past.