Statsig recently launched Product Analytics, and I had the pleasure of sitting down with one of our Product Managers, Akin Obugbade, to discuss everything from why Statsig decided to jump into product analytics to steps to cultivating a data-driven culture and everything in between.
A few highlights:
The crawl, walk, run framework: How to build a healthy data-driven culture step-by-step
Table stakes features and use cases: What functionality should a good product analytics tool offer?
Building with data: How analytics can (and should) support every stage of product development.
Check out the full recording: 👇
Experimenting with query-level optimizations at Statsig: How we reduced latency by testing temp tables vs. CTEs in Metrics Explorer. Read More ⇾
Find out how we scaled our data platform to handle hundreds of petabytes of data per day, and our specific solutions to the obstacles we've faced while scaling. Read More ⇾
The debate between Bayesian and frequentist statistics sounds like a fundamental clash, but it's more about how we talk about uncertainty than the actual decisions we make. Read More ⇾
Building a scalable experimentation platform means balancing cost, performance, and flexibility. Here’s how we designed an elastic, efficient, and powerful system. Read More ⇾
Here's how we optimized store cloning, cut processing time from 500ms to 2ms, and engineered FastCloneMap for blazing-fast entity updates. Read More ⇾
It's one thing to have a really great and functional product. It's another thing to have a product that feels good to use. Read More ⇾