A/B testing serves to continually enhance product experiences and foster innovation—a process that is beneficial to all, even designers.
Metrics Explorer promises to redefine how you interact with your metrics by providing more analytics power directly within the Statsig platform.
A lack of “fairness” is called SRM or sample ratio mismatch. For instance, flipping a biased coin that doesn't land on heads and tails equally.
Confining experimentation to UI and website optimization falls short of capturing the remarkable business potential that experimentation can unlock.
Late Friday, August 25, some of our customers started reporting that our Feature Flags were not resolving correctly with the JS SDK on the latest versions of Chrome.
We conducted a virtual AMA with Ronny Kohavi and our very own Tim Chan. Check out the recording.
Statsig had the pleasure of partnering with the hosts and founders of the Acquired Podcast to hold the first-ever Product Growth Forum in San Francisco.
A user's onboarding experience can be make-or-break when determining their lifetime usage of your product.
The design process is a collaborative one that involves PMs, engineers, and other stakeholders, and can even pivot 180° as new information surfaces.
Trying to fork an open-source platform and host it yourself might be the wrong move—for a myriad of surprising reasons.
Our new brand illustrates the Statsig ethos: A fun, experimental, and communicative company that users can actually trust.
When vetting experimentation platforms, it's important to know which key intangible traits and modern technical capabilities to look for.
Using Statsig and Snowflake together can increase the efficiency and effectiveness of your experimentation without over-consuming data science and engineering resources.
Incorporating AI into your product is easier said than done, especially if you’re not an AI company. We can help.
With the new Fastly integration at Statsig, customers can call our API using data stored in Fastly’s globally distributed edge network.