Statsig

Please join us in welcoming our newest Statsig team members 🎃: • Rami Basha, Account Executive • Nina Maurizi, Account Executive • Elana Plimack, Account Executive • Mitchell Bradley, Account Executive • Emily Hallet, Head of Product Marketing • Sathvik Kuthuru, Software Engineer • Jordan Lewis, Account Manager • Miles Chu, RevOps Analyst No tricks here, just a team full of treats ready to build, grow, and experiment together. Feeling brave enough to join the fun? 👀 Check out our open roles: statsig.com/careers

We’re bringing together some of the brightest minds in experimentation for our SF Experimentation Meetup! ✨ 🎙️ Sumeet Marwaha, Head of Data at Brex 🎙️ Ilya Izrailevsky, Sr. Engineering Manager, Experimentation at DoorDash 🎙️ Omar Guenena, Sr. Engineering Manager at Lime These leaders are redefining how top companies experiment, measure, and move faster through data. Join us on Nov 11 in San Francisco for an evening of insights, networking, and great conversation. 👉 Register now: https://lnkd.in/gzCa7rGt

Feature Gates + Product Analytics = Better Together ❤️ You can now treat feature gate exposure events like any other event in drilldown and funnel charts 📊 This helps identify conversion differences between users who passed or failed a gate and attribute downstream changes to specific gated experiences 🎯 Watch PM Akin Olugbade's demo and navigate to Analytics > Metrics Explorer to try this out today! (available for both Cloud and Warehouse Native customers)

Seattleites, we’re at the MCP Academy event today! 👋 Visit our booth to chat with Brock Lumbard and Shubham Singhal about Statsig MCP servers and see how you can ship your code with control and visibility.

Huge congratulations to the winners of DubHacks 2025! Parth Shah (Software Engineer) and Austin Robertson (Software Engineer) celebrated the brilliant minds behind this year’s DubHacks winners. We’re proud to have sponsored this event and can’t wait to continue cheering on the next generation of builders. 💡

Liz Obermaier (Data Scientist) is hitting the road for our Experimentation Meetups in San Francisco and New York City. She’s got a few tricks up her sleeve, including 10 Experiments to Run Before You Die, a must-see for every product team serious about driving growth. Register now: 📍 San Francisco — November 11 🔗 https://lnkd.in/gzCa7rGt 📍 New York City — November 13 🔗 https://luma.com/gp5xxkoh

Measuring the impact of product changes, new features, and marketing campaigns means you can make the right decisions in the moment and decide what future investments to make. Experimentations is a powerful tool when it comes to measuring these outcomes, but picking the right methodology can sometimes be overwhelming. Join me at "10 Experiments to run before you die" to discus which methods are best for which circumstances. Register now: 📍 San Francisco — November 11 🔗 https://luma.com/6fhpacqk 📍 New York City — November 13 🔗 https://luma.com/gp5xxkoh

New Statsig docs just went live 🎉 You can now directly connect to tools like Cursor or Codex by using the Statsig docs as an MCP server 🤩 This allows the tool to read our docs - helping coding agents use the correct Statsig syntax when setting up feature gates or experiments 🛠️ Oh, and we’ve also completely refreshed the UI across all docs pages! Thank you Mintlify 🤝 Watch PM Brock Lumbard's demo and head to our docs to try it out: https://lnkd.in/gbicptzC

Excited to host an AI Roundtable next Tuesday (Oct 28th) at the Statsig AI Evals Meetup, as part of Seattle AI Week 2025. If you’re in town, drop by and connect -> Would love to exchange ideas with fellow builders, PMs, and AI leaders on how we evaluate, scale, and build trust in AI systems. 👉 Event link: https://lnkd.in/gVbtpRnp #SeattleAIWeek #Statsig #AIEvals #AI #Product #GenAI #AIProductLeadership

New updates to the Power Analysis Calculator just dropped 🤩 Wondering how long to run an experiment and what metric lifts you can confidently detect? 🍋 Our Power Analysis Calculator takes the guesswork out of planning and lets you pre-determine experiment parameters to optimize your test duration. 👉 Now, all your metrics are in one view - instantly see how MDEs (minimum detectable effect) change over time and how long it takes to reach your target MDEs across all monitoring metrics! 🔗 You can share results with your team so they can easily reuse the same setup. Watch the demo by PM Kaz Haruna and try it out under the Experimentation tab today!