What is a partial rollout? Quick definition and intro

A partial rollout is the practice of showing a feature to a percentage of users between 0% and 100% so you can see the impact a feature has on a sample of users.

Sami Springman | January 2023

How to A/B Test a Web Page

A/B and A/B/n testing web pages is an effective and accurate way to determine which design is most impactful.

Jack Virag | January 2023

Download: How to Build a Growth Engine with Product Experimentation

We studied the evolution of product development at Amazon, Microsoft, Facebook, Uber, Spotify, and Airbnb, to uncover how they were able to build growth engines. 

The Statsig Team | January 2023

2022: Digging Deeper

In 2022, we dug deeper, doubling down on our core product, expanding the suite of tools we offer, and bringing more people (customers, employees, investors, and partners) on board.

Tore Hanssen | December 2022

Vijaye Raji on the Analytics Engineering Podcast

Vijaye Raji discusses product experimentation, building a culture of experimentation, and big company lessons for growing organizations on The Analytics Engineering Podcast.

John Wilke | December 2022

NYC Data Engineering & Science Meetup (Recap)

Statsig presented at the December 2022 in-person meetup of the NYC Data Engineering & Science Council.

John Wilke | December 2022

Statsig x Vercel: Introducing Experimentation on the Edge

Vercel users can now leverage Statsig's server SDK at the edge to grab configurations and bucket users into feature experiences.

Joe Zeng | December 2022

Introducing Kong: Cross-Language Integration Testing

Kong is our Typescript-based write-once-run on every SDK framework. “Write once, run anywhere” is always a dream for programmers, and now we have just that!

Tore Hanssen | December 2022

Statsig x Unleash: Introducing Real Time Analytics for Every Feature Toggle

Statsig and Unleash have partnered together to bring Statsig data analytics and product insights to any features shipped behind Unleash feature toggles!

John Wilke | December 2022

CUPED Explained

A deep dive into CUPED: Why it was invented, how it works, and how to use CUPED to run experiments faster and with less bias.

Craig Sexauer | November 2022

Why Motion’s Head of Engineering Replaced LaunchDarkly with Statsig

LaunchDarkly was mandatory for every new feature in Motion’s backend, web app, and Chrome extension. "It was obvious this was a huge mistake."

The Statsig Team | November 2022

San Francisco Data Meetup, hosted by Statsig (Recap)

Last Tuesday, Statsig brought a cadre of data science and experimentation fans together at a loft space in San Francisco for the first-ever Data Science Meetup.

John Wilke | November 2022

Product Experimentation Best Practices

Well-designed experimentation is the first step in creating a rollout structure that consistently delivers optimal results—whatever they may be.

Maggie Stewart | October 2022

A/B Testing and Experimentation in the Obama 2008 and 2012 Campaigns

Using data and experimentation, the Obama 2012 campaign generated over one billion dollars in donations, nearly $700,000,000 of which were online.

Jack Virag | October 2022

My Recruiting Journey to Statsig

It’s only my first week yet, but each day I am more and more impressed by the team’s velocity, excitement, and transparency, and feeling more sure that I’ve made the right decision for /me/.

Alison Shin | October 2022

Try Statsig Today

Explore Statsig’s smart feature gates with built-in A/B tests, or create an account instantly and start optimizing your web and mobile applications. You can also schedule a live demo or chat with us to design a custom package for your business.

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