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Statsig Blog
The Statsig Blog covers the latest in feature management, experimentation, analytics, and more
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1
Why is it OK to run a z-test on a non-normal distribution for A/B tests?
Viv Magida
Mon Aug 31 2026
11
Statsig's Knowledge Graph: Connecting code, experiments, and metrics
Emily Hallet
Wed Jan 28 2026
18
Introducing the Statsig partner program: Powering innovation through a unified ecosystem of builders
William da Cunha
Mon Dec 01 2025
20
Correct me if I'm wrong: Navigating multiple comparison corrections in A/B Testing
Allon Korem
Thu Oct 23 2025
24
Full support for Statsig Experimentation & Analytics in Microsoft Fabric
Sid Kumar
Tue Sep 16 2025
27
Sink, swim, or scale: What startups teach us about launching AI
Alexey Komissarouk
Fri Aug 08 2025
30
Your users are your best benchmark: a guide to testing and optimizing AI products
Skye Scofield
Wed Jul 09 2025
31
The more the merrier? The problem of multiple comparisons in A/B Testing
Allon Korem
Tue Jul 08 2025
37
From SEVs to self-serve: How we GitOps’d our infra with Pulumi & Argo CD
Tyrone Wong
Wed Jun 11 2025
43
When being "good enough" is enough: Understanding non-inferiority tests
Allon Korem
Wed May 21 2025
44
Fail faster, learn faster: Why "done" beats "perfect" in modern product management
Kaz Haruna
Tue May 20 2025
46
Statsig secures series C funding to bring science to the art of product development
Vijaye Raji
Tue May 06 2025
47
Why Datadog bought Eppo for $220M, and what it means for the future of experimentation
Vijaye Raji
Thu May 01 2025
51
Release pipelines: Safer, staged rollouts across your infrastructure
Shubham Singhal
Tue Apr 22 2025
61
Best practices for feature flags in serverless environments like AWS Lambda
Jina Yoon
Fri Apr 04 2025
71
Why buying an experimentation platform makes more sense than building one
Sid Kumar
Tue Mar 11 2025
72
Why data-driven marketing attribution models don't work as promised
Yuzheng Sun, PhD
Tue Mar 11 2025
81
How to think about the relationship between correlation and causation
Yuzheng Sun, PhD
Thu Feb 27 2025
84
How Statsig uses query-level experiments to speed up Metrics Explorer
Nicole Smith
Thu Feb 20 2025
85
How Statsig’s data platform processes hundreds of petabytes daily
Pushpendra Nagtode
Wed Feb 12 2025
87
Balancing scale, cost, and performance in experimentation systems
Pushpendra Nagtode
Tue Feb 11 2025
109
Move fast, ship smart: The engineering practices behind Statsig’s growth
Andrew Huang
Mon Dec 16 2024
115
It’s normal not to be normal(ly distributed): what to do when data is not normally distributed
Allon Korem
Tue Oct 22 2024
116
How the engineers building Statsig solve hundreds of customer problems a week
Matt Garnes
Mon Oct 21 2024
129
Why you should "accept" the null hypothesis when hypothesis testing
Yuzheng Sun, PhD
Wed Sep 25 2024
135
I want it that way: Building experimentation infrastructure and culture with Ronny Kohavi
Morgan Scalzo
Thu Sep 12 2024
147
How to pick metrics that make or break your experiments (including do's and don'ts)
Elizabeth George
Wed Aug 14 2024
153
Statsig Seattle Tech Week Recap: Founders by Founders 5 key takeaways
Morgan Scalzo
Tue Aug 06 2024
179
5 highlights from my chat with Kevin Anderson (PM, Experimentation at Vista)
Sid Kumar
Wed May 22 2024
198
Running experiments on Google Analytics data using Statsig Warehouse Native
Ryan Musser
Tue Apr 16 2024
215
Hippos, skunks and launch parties: How culture drives successful experimentation outcomes
Sid Kumar
Wed Mar 06 2024
221
Why you should evaluate an experimentation platform sooner rather than later
Sid Kumar and Skye Scofield
Thu Jan 25 2024
229
How to measure your product success for different stages
Mengying Li and Joe Mercer
Tue Oct 24 2023
230
How top AI companies are using Statsig to build their products
Skye Scofield and Brock Lumbard
Mon Oct 23 2023
234
The semantic layer and Statsig: A partnership for better experimentation
Ryan Musser
Mon Oct 02 2023
235
Introducing Product Analytics: Dive deeper into your data
Vineeth Madhusudanan and Pierre Estephan
Tue Sep 05 2023
240
Cumulative impact versus big wins: Chasing the experimentation rainbow
Craig Sexauer
Fri Jun 23 2023
241
Lessons from Notion: How to build a great AI product, if you're not an AI company
Skye Scofield
Mon Jun 12 2023
245
AI Experimentation: How to optimize the performance of AI-powered features using Statsig (Webinar Recording)
Morgan Scalzo
Wed Apr 26 2023
246
Online experimentation: The new paradigm for building AI applications
Palak Goel and Skye Scofield
Thu Apr 06 2023
308
Embrace Overlapping A/B Tests and Avoid the Dangers of Isolating Experiments
Tim Chan
Fri Oct 08 2021
318
How Auth0 Nailed Demand Generation (Before Product-led Growth Became a Buzzword)
Anu Sharma
Fri Jul 30 2021
327
Establishing a design system at an early startup (and why it’s important!)
Geunbae "GB" Lee
Fri Jun 04 2021
333
RUID — Time-Travel-Safe, Distributed, Unique, 64 bit ids generated in Rust
Rodrigo Roim
Wed May 05 2021
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See what our users have to say about building with Statsig
"Statsig's experimentation capabilities stand apart from other platforms we've evaluated. The ease of use, simplicity of integration help us efficiently get insight from every experiment we run. Statsig's infrastructure and experimentation workflows have also been crucial in helping us scale to hundreds of experiments across hundreds of millions of users."
Paul Ellwood
Head of Data Engineering
"We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion."
Don Browning
SVP, Data & Platform Engineering
"Excited to bring Statsig to Whatnot! We finally found a product that moves just as fast as we do and have been super impressed with how closely our teams collaborate."
Rami Khalaf
Product Engineering Manager
"Statsig has enabled us to quickly understand the impact of the features we ship."
Shannon Priem
Lead PM
"I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig."
Partha Sarathi
Director of Engineering
"Working with the Statsig team feels like we're working with a team within our own company."
Jeff To
Engineering Manager
"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
Founder
"Statsig has been an amazing collaborator as we've scaled. Our product and engineering team have worked on everything from advanced release management to custom workflows to new experimentation features. The Statsig team is fast and incredibly focused on customer needs - mirroring OpenAI so much that they feel like an extension of our team."
Chris Beaumont
Data Scientist
"The ability to easily slice test results by different dimensions has enabled Product Managers to self-serve and uncover valuable insights."
Preethi Ramani
Chief Product Officer
"We decreased our average time to decision made for A/B tests by 7 days compared to our in-house platform."
Berengere Pohr
Team Lead - Experimentation
"Statsig is a powerful tool for experimentation that helped us go from 0 to 1."
Brooks Taylor
Data Science Lead
"We've processed over a billion events in the past year and gained amazing insights about our users using Statsig's analytics."
Ahmed Muneeb
Co-founder & CTO
"Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history."
Zachary Zaranka
Director of Product
"Statsig enabled us to test our ideas rather than rely on guesswork. This unlocked new learnings and wins for the team."
David Sepulveda
Head of Data
"Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly."
Karandeep Anand
President
"We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig."
Partha Sarathi
Director of Engineering
"Statsig has been a game changer for how we combine product development and A/B testing. It's made it a breeze to implement experiments with complex targeting logic and feel confident that we're getting back trusted results. It's the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation."
Joel Witten
Head of Data
"We realized that Statsig was investing in the right areas that will benefit us in the long-term."
Omar Guenena
Engineering Manager
"Having a dedicated Slack channel and support was really helpful for ramping up quickly."
Michael Sheldon
Head of Data
"Statsig takes away all the pre-work of doing experiments. It's really easy to setup, also it does all the analysis."
Elaine Tiburske
Data Scientist
"We thought we didn't have the resources for an A/B testing framework, but Statsig made it achievable for a small team."
Paul Frazee
CTO
"We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire."
Nick Carneiro
CTO
"We've successfully launched over 600 features behind Statsig feature flags, enabling us to ship at an impressive pace with confidence."
Wendy Jiao
Staff Software Engineer
"We chose Statsig because it offers a complete solution, from basic gradual rollouts to advanced experimentation techniques."
Carlos Augusto Zorrilla
Product Analytics Lead
"We have around 25 dashboards that have been built in Statsig, with about a third being built by non-technical stakeholders."
Alessio Maffeis
Engineering Manager
"Statsig beats any other tool in the market. Experimentation serves as the gateway to gaining a deeper understanding of our customers."
Toney Wen
Co-founder & CTO
"We finally had a tool we could rely on, and which enabled us to gather data intelligently."
Michael Koch
Engineering Manager
"At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It's also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us."
Mengying Li
Data Science Manager
"At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities."
Dave Cummings
Engineering Manager, ChatGPT
"Statsig has helped accelerate the speed at which we release new features. It enables us to launch new features quickly & turn every release into an A/B test."
Andy Glover
Engineer
"We knew upon seeing Statsig's user interface that it was something a lot of teams could use."
Laura Spencer
Chief of Staff
"The beauty is that Statsig allows us to both run experiments, but also track the impact of feature releases."
Evelina Achilli
Product Growth Manager
"Statsig is my most recommended product for PMs."
Erez Naveh
VP of Product
"Statsig helps us identify where we can have the most impact and quickly iterate on those areas."
John Lahr
Growth Product Manager
"With Warehouse Native, we add things on the fly, so if you mess up something during set up, there aren't any consequences."
Jared Bauman
Engineering Manager - Core ML
"In my decades of experience working with vendors, Statsig is one of the best."
Laura Spencer
Technical Program Manager
"Statsig is a one-stop shop for product, engineering, and data teams to come together."
Duncan Wang
Manager - Data Analytics & Experimentation
"Engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!"
Todd Rudak
Director, Data Science & Product Analytics
"For every feature we launch, Statsig saves us about 3-5 days of extra work."
Rafael Blay
Data Scientist
"I appreciate how easy it is to set up experiments and have all our business metrics in one place."
Paulo Mann
Senior Product Manager