We use Eppo at Delivery Hero for warehouse-native expriment evalutions (in tandem with our own feature flag management tool and sdk). With some analytics engineering investment in setting up a reliable metrics catalog, we have been able to dramatically reduce the overhead in experiment evaluations for our large product organization. Eppo offers an intuitive experiment setup and summary experience that has saved Product Analysts a lot of time and mundane overhead. An additional benefit is that it comes with all the latest statistical evaluations (and corrections, e.g. - when the randomisation and evaluation units do not match in an experiment) that allow us to move past fixed-horizon testing when it makes sense. In addition, the team, starting right with the leadership, have a strong customer success mindset and are highly responsive on slack to all operational concerns.

I like the most that Eppo handles all of the calculations around the facts, so this makes the experimentation process available for all the company. And also brings consistency in the way metrics are computed

I love the ability to run warehouse native experimentation using Eppo, it is easy to set up experiments in Eppo up with the right data models and their statistical rigor helps us be on top of the best experimentation practices. I specifically love the ability to define warehouse native metrics and business-specific entities. I think this tool is a must-have in any experimentation team' stack