Eppo is built for product experiments and data teams, with an emphasis on trustworthy, deep analysis. The initial data/metrics plane is sourced from data warehouses via SQL, and the workflow and stats engine is built so that engineers, PMs, designers can self serve experiments while making statistically sound, scientifically valid decisions.
Let me know if that makes sense, happy to elaborate
At Lyft, we have an internal platform that helps us run and manage experiments. Seems like this is a SaaS equivalent. Do you have an idea of how it compares to other companies established experimentation platforms?
And I'd bet that there is a lot in common with Eppo and your tooling at Lyft. :) The product was inspired by what we built at Airbnb, and what we saw at Netflix, DoorDash, etc. An easy way to understand Eppo is "a SaaS experimentation tool that feels like what you had at Airbnb/Lyft/Dropbox."