This month kicked off our newest virtual event offering—Learning Labs. 🎉 This channel gives users a unique opportunity to dive deep into a niche topic and get a step-by-step walkthrough of how to implement a workflow into their current testing program.
If you’re interested in weaving machine learning into your feature flag infrastructure you’ll get insight into how this can be done within the Statsig console.
Level up your existing feature flag infrastructure with ML. Tyler VanHaren, Software Engineer at Statsig, walks through how to harness the power of machine learning with feature flags. We will cover how ML can be used to complement your current testing program as well as show how you can leverage feature flags to enrich your ML model. Enjoy this on-demand viewing and we hope you can join us live in the future!
Standard deviation and variance are essential for understanding data spread, evaluating probabilities, and making informed decisions. Read More ⇾
We’ve expanded our SRM debugging capabilities to allow customers to define custom user dimensions for analysis. Read More ⇾
Detect interaction effects between concurrent A/B tests with Statsig's new feature to ensure accurate experiment results and avoid misleading metric shifts. Read More ⇾
Statsig's biggest year yet: groundbreaking launches, global events, record scaling, and exciting plans for 2025. Explore our 2024 milestones and what’s next! Read More ⇾
A guide to reporting A/B test results: What are common mistakes and how can you make sure to get it right? Read More ⇾
This guide explains why the allocation point may differ from the exposure point, how it happens, and what you to do about it. Read More ⇾