Products
Solutions
Resources
Docs Pricing
Sign In Contact Us

Statsig Blog

The Statsig Blog covers the latest in feature management, experimentation, analytics, and more
Maggie Stewart
Data Scientist, Statsig

Maggie Stewart is a data scientist with a proven track record from Galvanize Inc to Facebook and Statsig, where she has leveraged her expertise in data science pipelines and machine learning algorithms to solve complex problems.

Product experimentation best practices
Maggie Stewart
Wed Jul 10 2024
Well-designed experimentation is the first step in creating a rollout structure that consistently delivers optimal results—whatever they may be.
Switchback experiments: Overview and considerations
Maggie Stewart
Tue Nov 14 2023
Switchback experiments are a way to measure the impact of a change when network effects render traditional A/B tests impractical, as is often the case in 2-sided marketplace products.
Sequential Testing on Statsig
Maggie Stewart
Wed Oct 18 2023
We recently revamped Statsig’s Sequential Testing methodology, providing higher statistical power during the early days of the experiment while enforcing a strict cap on FPR.
Using Pulse Time Series for Deeper Insights
Maggie Stewart
Mon May 16 2022
Statsig time series charts can reveal insights otherwise hidden in fully aggregated results, such as seasonality and novelty effects.
User-Level vs. Device-Level Experiments with Statsig
Maggie Stewart
Fri Oct 15 2021
Proper Unit ID logging is crucial for obtaining valid results from online experiments, as a Unit ID is a unique identifier for every entity in an experiment.
Older Posts Show All

Loved by customers at every stage of growth

See what our users have to say about building with Statsig
Testimonials
We use cookies to ensure you get the best experience on our website.
Privacy Policy