When did Statsig start?

Thu Oct 03 2024

Ever wondered how some of the world's top tech companies iterate and improve their products so rapidly? It's not magic—it's data-driven decision-making powered by robust experimentation tools. At Statsig, we've taken inspiration from these industry giants to help every team build better products through data.

In this blog, we'll explore the journey of Statsig—from its roots at Facebook to our mission of transforming product development for teams everywhere. We'll dive into the challenges modern product teams face with experimentation, how Statsig addresses these hurdles, and the impact we've had since our inception in 2021.

The genesis of Statsig: from Facebook's internal tools to startup vision

When Vijaye Raji was at Facebook, he saw firsthand how engineers could rapidly iterate on products without hitting constant bottlenecks. It wasn't just luck—Facebook had powerful internal tools like Gatekeeper, Quick Experiments, and Deltoid that gave teams the autonomy to move fast.

These tools weren't just about speed; they empowered teams to make data-driven decisions and manage features effectively. Gatekeeper let them roll out features in a controlled way, Quick Experiments made rapid testing a breeze, and Deltoid offered deep metric analysis. Inspired by this, Raji wanted to bring these powerful capabilities to developers and teams everywhere.

That's how Statsig came to be—with a mission to help people use data to build better products. We've essentially replicated the growth infrastructure from Facebook but made it accessible to everyone. By automating and simplifying the testing process, Statsig delivers meaningful insights that support product development.

Founded in February 2021 by Raji, Statsig's tools enable teams to analyze, visualize, and interpret data like never before. This means product teams can make informed decisions about feature launches without all the guesswork.

Addressing experimentation challenges in modern product teams

As we all know, modern product teams often struggle with fragmented experimentation tools. Different teams using different tools can slow down the integration of machine learning or complex experiments, causing frustrating delays. It's not just about speed—the fragmentation makes creating comprehensive experiments a real headache, especially when you're trying to pull together all your key performance indicators (KPIs) into one report.

On top of that, dealing with data from diverse sources complicates the analysis even more. It becomes tough for product teams to make informed decisions when the experiment results are all over the place. That's exactly why we built Statsig—to tackle these challenges head-on and help companies make sense of their data.

Our platform is designed to make experimentation and feature management a breeze. We offer solutions like:

  • Setting up experiments and feature flags that you can transform into A/B tests with just a bit of code

  • Using "sticky bucketing" so users consistently get the same variant every time they visit

  • Implementing sequential testing for ongoing monitoring of experiment results without inflating the false positive rate

By providing these tools, we're enabling product teams to move quickly and confidently. With our integrated platform, you can ship faster, automate A/B testing, and make data-driven decisions at scale. No more endless debates or costly mistakes—just meaningful data insights to support your product development.

Statsig's approach to transforming product development

At Statsig, we're all about streamlining the product development process. Our platform provides tools for feature management and real-time experimentation, so teams can test new features seamlessly—and without disrupting the user experience.

One of the coolest things we offer is "sticky bucketing", which means users consistently get the same variant every time they visit. This consistency is super important for accurate data collection and analysis.

We also put a big emphasis on automated data analysis. That way, you get actionable insights quickly and efficiently. By automating the grunt work, your teams can make data-driven decisions without wasting time on manual analysis.

Our mission has always been to help people use data to build better products. That's why our tools enable teams to analyze, visualize, and interpret data, making informed decisions about feature launches. This approach is especially valuable for developers working with AI applications—our platform lets you simultaneously test app changes and foundation model tweaks, giving you clear visibility into the impact on user and model metrics.

The journey and impact of Statsig since its inception in 2021

Since we kicked off Statsig in 2021, we've been on quite the journey. We secured $43 million in Series B funding, which has fueled our rapid expansion and product development. This early success showed us there's a real demand for accessible experimentation tools.

We've built a collaborative culture here at Statsig, attracting a team that's passionate about innovation and iteration. Our design system, which we set up early on, has been key in fostering consistency and efficiency across our product. This focus on teamwork and rapid development has really driven our growth.

By offering a comprehensive platform for experimentation and feature management, we're empowering companies to make data-driven decisions. This means businesses can avoid costly mistakes and endless debates—they can innovate quickly while keeping risks low. Statsig's tools are becoming essential for product teams looking to boost user engagement and speed up product development.

But our impact goes beyond just our product offerings—we're aiming to transform product culture through our tools. By democratizing access to sophisticated experimentation capabilities, we're helping businesses of all sizes embrace a build-measure-learn, just like the approach that inspired our founding. This shift in culture is enabling companies to iterate more effectively and deliver better products to their users.

Closing thoughts

From our roots at Facebook to our mission today, Statsig is all about empowering teams to make data-driven decisions and build better products. We've seen firsthand how powerful experimentation tools can transform product development—and we want to bring that to everyone.

If you're looking to supercharge your product development process and make your data work for you, Statsig is here to help. Feel free to check out our blog for more insights and resources. Hope you find this useful!

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