Statsig Blog

The Statsig Blog covers the latest in feature management, experimentation, analytics, and more

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Kicking off Significance Summit

Morgan Scalzo
Tue Oct 08 2024

Introducing AI Prompt Experiments on Statsig

Shubham Singhal
Fri Sep 27 2024

CUPED Explained

Craig Sexauer
Sun Sep 15 2024

A new engineer's POV: Culture at Statsig

Andrew Huang
Tue Sep 10 2024

What is A/B testing and why is it important?

Yuzheng Sun, PhD
Thu Sep 05 2024

Why Kayak lets you pick your plane

Jack Virag
Thu Sep 05 2024

Unveiling Pluto: Our new design system

Minhye Kim
Tue Sep 03 2024

How I saved my experiment from outliers

Craig Sexauer
Tue Aug 13 2024

Your go-to guide for Online Bot Filtering

Michael Makris
Tue Aug 06 2024

Optimizely for Startups

The Statsig Team
Fri Aug 02 2024

Hypothesis Testing explained in 4 parts

Yuzheng Sun, PhD
Mon Jul 22 2024

GrowthBook for Startups

The Statsig Team
Fri Jul 19 2024

Introducing Differential Impact Detection

Liz Obermaier
Wed Jul 17 2024

How to Ingest Data Into Statsig

Logan Bates
Tue Jul 16 2024

Product experimentation best practices

Maggie Stewart
Wed Jul 10 2024

How to Export Experimentation Results

Sophie Saouma
Wed Jun 26 2024

Warehouse Native Year in Review

Craig Sexauer
Tue Jun 25 2024

How to add Feature Flags to Next.JS

Brock Lumbard
Wed Jun 05 2024

How to improve funnel conversion

Ryan Musser
Fri May 24 2024

How to track your features' retention

Liz Obermaier
Fri May 17 2024

Introducing stratified sampling

Craig Sexauer
Mon May 13 2024

How to build a good dashboard

Logan Bates
Fri May 10 2024

The top 7 Statsig alternatives

Jack Virag
Sun May 05 2024

Feature management for visionOS

Jack Virag
Mon Apr 29 2024

B2B experimentation expert examples

Jack Virag
Thu Apr 25 2024

Announcing Session Replay

Akin Olugbade
Tue Apr 23 2024

Why warehouse native experimentation

Sid Kumar
Fri Apr 05 2024

New feature: Introducing Promo Mode

Jack Virag
Mon Apr 01 2024

Statsig for startups

Jack Virag
Mon Apr 01 2024

Novelty effects: Everything you need to know

Yuzheng Sun, PhD
Wed Mar 20 2024

Announcing Statsig Product Analytics

Sid Kumar
Tue Mar 19 2024

Demystifying identity resolution

Cooper Reid
Mon Mar 11 2024

San Francisco, meet Statsig

Brock Lumbard
Thu Feb 08 2024

Warehouse-native experimentation

Jack Virag and Logan Bates
Wed Feb 07 2024

Building allies in experimentation

Craig Sexauer
Wed Jan 31 2024

The 2023 holiday hot cocoa experiment

Jack Virag
Wed Jan 10 2024

How to measure your product success for different stages

Mengying Li and Joe Mercer
Tue Oct 24 2023

How top AI companies are using Statsig to build their products

Skye Scofield and Brock Lumbard
Mon Oct 23 2023

Sequential Testing on Statsig

Maggie Stewart
Wed Oct 18 2023

Onboarding for growth with A/B tests

Sid Kumar
Mon Aug 14 2023

Less is more: Metric directionality

Matt Garnes
Tue Feb 14 2023

Dynamic Data Development

Craig Sexauer
Fri Feb 03 2023

How to A/B test a web page

Jack Virag
Sun Jan 08 2023

My Recruiting Journey to Statsig

Alison Shin
Sat Oct 15 2022

When to use a Feature Gate

Tore Hanssen
Tue Oct 11 2022

The Importance of Design in B2B SaaS

Geunbae "GB" Lee
Thu Sep 29 2022

Statsig—Now With Your Warehouse

Craig Sexauer
Thu Sep 15 2022

My Summer as a Statsig Intern

Ria Rajan
Fri Aug 12 2022

Quant vs. Qual

Margaret-Ann Seger
Thu Jul 21 2022

The Importance of Default Values

Tore Hanssen
Wed Jul 20 2022

CUPED on Statsig

Craig Sexauer
Thu Jul 07 2022

Leading a team of lions

Anu Sharma
Thu Jun 16 2022

Why do my Facebook Groups look different?

Tore Hanssen
Tue Jun 14 2022

Picking Metrics 101

Craig Sexauer
Fri Jun 03 2022

Early startup journey: My first year at Statsig

Geunbae "GB" Lee
Thu May 19 2022

Using Pulse Time Series for Deeper Insights

Maggie Stewart
Mon May 16 2022

Should I Flip That Tailgater Off?

Craig Sexauer
Wed May 11 2022

Don’t be a Holdout holdout

Vineeth Madhusudanan
Wed May 04 2022

There’s More To Learn From Tests

Craig Sexauer
Wed Apr 20 2022

Launching Be Significant

Anu Sharma
Tue Apr 19 2022

Modernizing the Customer Data Stack

Ryan Musser
Mon Apr 18 2022

We fooled ourselves first

Sami Springman
Wed Apr 06 2022

Statsig as an mParticle Destination

Vineeth Madhusudanan
Thu Mar 31 2022

Democratizing Experimentation

Vineeth Madhusudanan
Mon Mar 21 2022

Sales tech we can’t live without

Emma Dahl
Mon Mar 14 2022

Reading Experimentation Tea Leaves

Vineeth Madhusudanan
Wed Mar 09 2022

How 5 Letters Changed my Work Life

Sami Springman
Tue Feb 15 2022

Free Beer!

Vineeth Madhusudanan
Mon Feb 07 2022

Experimentation-driven development

Ritvik Mishra
Fri Jan 21 2022

Inside Design at Statsig

Geunbae "GB" Lee
Thu Jan 20 2022

Environments on Statsig

Vineeth Madhusudanan
Fri Jan 07 2022

2021: Taking the Swing

Anu Sharma
Tue Dec 21 2021

Designing for failure

Vineeth Madhusudanan
Sat Dec 18 2021

High Stakes Decision-Making

Anu Sharma
Tue Dec 14 2021

7 Ways Experiments Break

Anu Sharma
Wed Dec 08 2021

Introducing Statsig as a Segment Destination

Marcos Arribas
Wed Nov 10 2021

The Chicken Conundrum

Emma Dahl
Fri Oct 29 2021

The Causal Roundup #3

Anu Sharma
Wed Oct 27 2021

Sales development hacks

Emma Dahl
Wed Oct 20 2021

The Causal Roundup #2

Anu Sharma
Wed Oct 13 2021

Quality Week at Statsig

Joe Zeng
Wed Oct 13 2021

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Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
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.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
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.
Brex
Karandeep Anand
President
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.
Notion
Mengying Li
Data Science Manager
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.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
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.
Ancestry
Partha Sarathi
Director of Engineering
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