“The UX team is constantly interviewing and interacting with our users, so they generate a lot of hypotheses which we investigate using our data. The UX team, because their insight is built quickly from human interactions, can flit from thought to thought and project to project; when they think they’re onto something good, they kick the research idea to the lumbering beast that is the data science team. We can comb through our billions of records of sends, clicks, opens, http requests, user and campaign metadata, purchase data, etc. to quantitatively back or dismiss their new thinking.”
– Data Story: John Foreman of MailChimp on the Data Science Behind Emails
“Having periods like that when designers can have the freedom to explore and dream up kind-of-out-there solutions is essential for good design ideas to flourish. If you are always executing on a week-by-week roadmap and running the product development process like a bootcamp, it’s likely you will get some optimization wins, but full-blown new concepts are not usually born from those environments. There needs to be time for both an execute-and-optimize strategy in design, as well as room and space for more creative, bigger-picture solutions”
– Julie Zhuo, Go Big by Going Home
I’m designing and developing an app for finding substitute soccer players for league matches. Writeup and more previews coming soon.
“Behavior change, not growth. Behavior change is about improving the lives of others, scale is about ego. Getting scale after nailing behavior change is easier than nailing behavior change (and thus having a shot at durability) after hitting scale.”
– Walter Chen, iDoneThis.com