Your team is busy shipping features, and they are keeping a close eye on product metrics. While it’s easy (with Statsig) to understand the impact of individual feature launches, one question that often comes up is: What’s the collective impact of multiple features?
At Facebook, every team calculated the cumulative impact of all features shipped over the last 6 months. And to do that accurately, we use “Holdouts” that we create at the beginning of each half. A holdout is usually small (1–5%) in size, and as the name implies, holds that set of people out of any new features launched during that half.
This provides us with a baseline to measure the cumulative impact of multiple launches over 6 months. At the end of the half, we release that holdout and create a new one for the next half. Holdouts are powerful and have many other uses including measuring long-term effects, quantifying subtle ecosystem changes, and debugging metric movements.
Today, we’re making all this available via Holdouts on Statsig. Setting up a holdout is a cinch — you pick the size and the features you want held from users. You can also make holdouts be ‘global’ which means all new features will automatically respect the holdout. And occasionally (hopefully, sparingly) you might want to run a “back-test” and you can do that by turning on holdouts to an existing set of features.
Once set up, our Pulse engine will automatically compute the impact of all those features compared against the baseline. No additional configuration or code necessary.
Go ahead, try it out today! We have a free plan that allows you to get going right away without needing to talk to any sales teams.
Take an inside look at how we built Statsig, and why we handle assignment the way we do. Read More ⇾
Learn the takeaways from Ron Kohavi's presentation at Significance Summit wherein he discussed the challenges of experimentation and how to overcome them. Read More ⇾
Learn how the iconic t-test adapts to real-world A/B testing challenges and discover when alternatives might deliver better results for your experiments. Read More ⇾
See how we’re making support faster, smarter, and more personal for every user by automating what we can, and leveraging real, human help from our engineers. Read More ⇾
Marketing platforms offer basic A/B testing, but their analysis tools fall short. Here's how Statsig helps you bridge the gap and unlock deeper insights. Read More ⇾
When Instagram Stories rolled out, many of us were left behind, giving us a glimpse into the secrets behind Meta’s rollout strategy and tech’s feature experiments. Read More ⇾