Switching to Eppo has led to a massive improvement in the quality of our experimentation analysis. With Eppo, our Product team is confident that their tests are bug-free and they are making decisions based on true metric impact, not noise. Product Managers are spending 50% less time making dashboards and debugging issues, which leaves more time to develop the features our users want.
Our team is very happy with the way we're running experiments with Eppo across front-end, back-end and Machine Learning use cases. Our business stakeholders now utilize the experiment results without questioning it, and our data team can self-serve using Eppo’s intuitive interface. I'm confident that Eppo is going to be the leader in the experimentation and product analytics space.
It's safe to say that Eppo has helped us double our experimentation velocity.
We spent almost two months meeting suppliers, testing open source tools, and setting up small- to medium-sized proof of concepts. We ended up with a shortlist of seven suppliers and after the evaluation we chose Eppo. We could not be happier with that choice. Thanks to Eppo, we were up and running fast and now Eppo is playing a very important role in our work with scaling the experimentation program.
Rigor, visibility, and transparency. That is Eppo. Eppo puts everyone on the same page. Everyone is using the same picture and the same numbers to understand experiment results. It is no longer a game of telephone where a data scientist analyses an experiment, writes something up, shares it with the product owner, and then the product owner crafts their narrative and shares it with executives. Now, executives have very simple, easy access to look at the result of an experiment, which all use the same standardized definitions for metrics.
The way that Eppo defines experiments and relevant metrics makes it really easy to scale experimentation without much overhead– it can take as few as five minutes to setup an additional experiment. Having an integration with our warehouse is key – no longer is experimentation a blackbox, and we get to have our internal data layer for free for us to do deep dives.
If you're running experiments, @Get_Eppo is for you. There's no way your in-house experimentation platform will ever be as good. They're pulling from the best experimentation minds at Airbnb, Snowflake, Uber, Stitchfix, and Slack.”
Eppo is a fabulous product, and a company to watch. If you work with experiments, follow @Get_Eppo. Once growth PMs realize that their experiments could run weeks/months faster, you are going to start hearing a lot more about CUPED.
Experiments are hard to do correctly, and even when correct, take a LONG time to run for most companies. Eppo is doing some really cool stuff to make high-quality, fast turnaround experiments accessible to people without massive data teams.
Don’t need experimentation quite yet? Eppo includes a complete and reliable feature flagging toolkit out of the box for your engineering workflow: SDKs for your stack, feature gates, advanced targeting, kill switches, manual opt-ins. Use these features to decouple deploys from releases, and add on experimentation independently any time you want.