- Automated frontend design testing && The power of data to build better products
In April, we will be sponsored by sipgate (https://www.sipgate.de/) and do an evening with two talks. • Improving automated frontend design testing (by Hans Christian Reinl) • Leveraging the power of website data to build better products (by Sheetij Jain) +++ Agenda +++ • 18:30 - 19:00: Arrival, get a drink and socialize • 19:10 - ~19:45: Talk #1 + Q&A • 19:55 - ~20:30: Talk #2 + Q&A • 20:25 - Open End: Socialising +++ Improving automated frontend design testing (by Hans Christian Reinl) +++ --- The test-pyramid claims that testing the UI layer of your web applications and websites is slow and expensive. While looking at tools for visual regression testing you might have experienced just that: Testing different breakpoints and states, handling components with arbitrary content and running tests on any CI tool isn’t fun. On the other hand, ensuring the UI looks just the way you want it to look in production is the main contract you have with the outside world. Let’s explore how we can get out of this dilemma. Hans is one of the hosts of the Working Draft Podcast (https://workingdraft.de/) and one of the Co-Founders of Warhol (https://warhol.io), a tool that automates frontend design testing. He works as a full-stack developer and software architect. +++ Leveraging the power of website data to build better products (by Sheetij Jain) +++ --- By 2025, it’s estimated that 463 exabytes of data will be created each day globally – that’s the equivalent of 212,765,957 DVDs per day! Every user interaction on your website can be now be logged which also means that your product is producing an enormous amount of data. This ever-increasing data also demands better utilization. With an example we will try to answer the following questions : - What is website data? - What if we don’t have the required data? - How can we use this data to build better products? Sheetij Jain (a.k.a SJ) - Product Manager at trivago. The power of data never stops to amaze me. With the quest of helping companies unlock the full potential of data, I worked in the data analytics team of multiple companies - Microsoft, T-Mobile, Cisco, and Amazon. And now as a product manager at trivago, I productize the learnings from our enormous datasets to build better product features for our users.