Getting back to my science teacher roots on the Statsig blog!
It's easy to run an A/B test without a real hypothesis. Here's why you shouldn't.
Read more: https://t.co/jeDJcuISlS
Autotunes, Version History, and Single-Override DELETE Endpoints. See what we've been shipping the first week of June.
Product Updates are back on the menu.
We’ve been working on a knowledge graph that connects your codebase to Statsig entities like metrics, feature gates, and experiments 🧠
The vision is to provide foundational infrastructure that allows teams and AI agents to learn faster and make better decisions using deeply connected context.
Want to learn more about techniques like SPRT that can help you run experiments faster and accelerate learning loops?
Here’s Michael Makris with a preview. Join him and Allon Korem for our webinar this Wednesday, where we’ll dive into advanced methodologies like SPRT, CURE, and more!
@Nextdoor drove faster, deeper learnings after moving from their internal experimentation tool to Statsig.
By automating the heavy lifting involved in running experiments, the team was able to buy back valuable data science time. This enabled them to dive deeper into experiment insights - including dimensional breakdowns and novelty effects, and ultimately make more informed product decisions faster 🚀
Hear from Sara and Kurnal on how Nextdoor transformed their experimentation culture in partnership with Statsig.
We’ve been steadily incorporating AI into key workflows in Statsig to help teams learn and optimize even faster.
Some areas where we’ve seen early wins include the hypothesis advisor, experiment summaries, experiment search, and one-click stale feature gate cleanup.
Learn more about these features and how we’re making Statsig smarter in our blog by Shubham Singhal, Kaz Haruna, and Sid Kumar: https://t.co/eXTaNvkFDq
Looking to accelerate your learning and iteration loops? This webinar is for you.
Join Allon Korem and Michael Makris for a technical session on stats methodologies that help you get quicker signal from experiments - so you can make decisions and iterate faster 🧪
We’ll cover essential techniques to reduce experiment run times, then dive into advanced approaches used by top experimentation teams, including SPRT and CURE (an advanced CUPED implementation), to scale experimentation velocity.
The full agenda for The Pragmatic Summit, hosted by @GergelyOrosz (@Pragmatic_Eng) is now live 🔴
You’ll hear from leading voices in engineering, including Vijaye Raji, Thibault Sottiaux, Laura Tacho, Rajeev Rajan, and Thomas Dohmke, plus actionable insights from teams at @cursor_ai, @linear, @OpenAI, @Uber, @tryramp, and @vercel.
We’re also excited to welcome @bytebytego to the lineup, with @alexxubyte and joining the program and bringing something extra for attendees 😉
🔗 We put together a short guide to share what’s worked in practice and help make onboarding a targeted goal instead of an open-ended effort.
Read the blog to learn more: https://t.co/HmdYXa9L63
Getting started with Statsig? 🧪
From working closely with our customers, we’ve learned that successful onboarding usually comes down to three clear steps: setting up the right foundations, enabling your team, and defining what success looks like.