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ANNOUNCEMENTS
Monitoring Databricks Structured Streaming Queries in Datadog
At Statsig, we recently transitioned to using structured streaming for our ETL. As the number of streaming queries grew, we wanted a centralized place where we could quickly view a snapshot of all our pipelines. What we want to monitor When it comes to...
Launching Be Significant
Welcome to Statsig’s Startup Accelerator Program Today, we’re excited to announce the Statsig Startup Accelerator Program, Be Significant, that can give your startup access to Statsig’s feature gates and experimentation platform, completely free for a full...
Statsig as an mParticle Destination
Get more value from your mParticle events in minutes Statsig can now be configured as a destination within mParticle to automatically ingest your your mParticle events. This allows you to bootstrap your Statsig environment easily, as all of the events you’ve...
POSTS
Early startup journey: My first year at Statsig
Celebrating my first Statsig-versary with a blog post full of memories. A year ago on May 19th, 2021, I took a big leap of faith and departed my satisfying job at Facebook to join an early stage startup called Statsig. Today, I’ve reached my one year mark...
Using Pulse Time Series for Deeper Insights
The Statsig Pulse results page offers a snapshot of all the metric movements driven by an experiment. Sometimes, a brief scan of the color coded score card is enough to validate that all metrics behave as expected, and we quickly proceed with the launch. Other...
Should I Flip That Tailgater Off?
A Bayesian exploration of road rage methodology, and its important applications to experimentation Disclaimer: this is in good fun and I don’t advocate road rage. You, dear reader, are driving somewhere nice. However, the driver behind you is determined to...
Don’t be a Holdout holdout
An opinionated guide on using Holdouts Feature Level Holdouts Good teams move fast. They’re trying several ideas at any given time. When they find something that works, they ship it and find the next idea to try. With some features — it is useful to measure...
Monitoring Databricks Structured Streaming Queries in Datadog
At Statsig, we recently transitioned to using structured streaming for our ETL. As the number of streaming queries grew, we wanted a centralized place where we could quickly view a snapshot of all our pipelines. What we want to monitor When it comes to...
There’s More To Learn From Tests
Split testing has become an important tool for companies across many industries. There’s a huge amount of literature (and Medium posts!) dedicated to examples and explanations of why this is, and why large companies in Tech have built their cultures around...
Launching Be Significant
Welcome to Statsig’s Startup Accelerator Program Today, we’re excited to announce the Statsig Startup Accelerator Program, Be Significant, that can give your startup access to Statsig’s feature gates and experimentation platform, completely free for a full...
Modernizing the Customer Data Stack
Modern tech companies are evolving the way that they build their customer data infrastructure at an incredibly fast rate. There are two key factors influencing this rapid modernization: Businesses want to make faster and better decisions based on accurate and...
Confused about p-values and hypothesis testing? Let’s play a game.
Photo by ZSun Fu on Unsplash You get to flip a coin and if it’s heads, you win $10. If it’s tails, I win $10. We play twice, tails comes up twice and you owe me $20. You probably will chalk this up to bad luck; after all there’s a 25% chance a fair coin will...
We fooled ourselves first
Dogfooding new features to your company using Feature Gates Our team at Statsig was all too excited for April Fools, planning a funny video that got the whole company involved. While the sales team wrangled everyone around a Magic 8 Ball, Vijaye Raji (Founder...
Statsig as an mParticle Destination
Get more value from your mParticle events in minutes Statsig can now be configured as a destination within mParticle to automatically ingest your your mParticle events. This allows you to bootstrap your Statsig environment easily, as all of the events you’ve...
Announcing Statsig’s New Pulse Stats Engine
Photo by Kaspars Eglitis on Unsplash Today we’re announcing the launch of Statsig’s new Pulse Stats Engine. Pulse is Statsig’s experimental analysis tool, and our first Stats Engine helped grow Statsig over the last 11 months. But we’re constantly improving...
Democratizing Experimentation
Experiment Review Best Practices A surprise win? When building out instant games on Facebook a few years back, a new developer switched to use a newer version of an internal SDK. The switch was motivated by keeping the code base supportable and it was...
Sales tech we can’t live without
The tools that make our jobs possible When my co-worker Sami Springman and I joined Statsig, we both came from Snowflake- a mature sales organization with every bizdev tool you could dream of. As the first sales people at Statsig, we’ve been building our...
Reading Experimentation Tea Leaves
Making experiment readouts trustworthy As we talk to many customers, one thing is clear : many common beliefs for product experimentation are plain wrong. These are often theoretical, academic and outdated. They lead teams to believe in a false sense of...
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