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CUPED Explained
Feature Management
Experimentation
Data Warehouse
Analytics
Engineering
Dev Ops
Data Science
Product Management
Artificial Intelligence
Gaming
B2B Saas
E-Commerce
Documentation
Walkthrough Guides
SDKs and APIs
Open Source Code
Integration
Product Updates
How Statsig Works
Build vs. Buy
Experimentation Community
Peak Velocity
Customer Stories
A/B Testing Calculator
Feature Flags Liberated
Optimizing AI Model Temp
What is Product Observability?
Experiments with Generative AI
Experimentation Platforms
CUPED Explained
PEAK VELOCITY: THE STATSIG BLOG
Featured Articles
Why experimentation (A/B testing) is a vital tool for designers
A/B testing serves to continually enhance product experiences and foster innovation—a process that is beneficial to all, even designers.
Introducing Metrics Explorer: Dive deeper into your data
Metrics Explorer promises to redefine how you interact with your metrics by providing more analytics power directly within the Statsig platform.
A quick guide to sample ratio mismatch
A lack of “fairness” is called SRM or sample ratio mismatch. For instance, flipping a biased coin that doesn't land on heads and tails equally.
Beyond optimizing clicks: Unleashing e-commerce potential with experimentation
Confining experimentation to UI and website optimization falls short of capturing the remarkable business potential that experimentation can unlock.
SEV report: Feature flag resolution errors due to Chrome bug
Late Friday, August 25, some of our customers started reporting that our Feature Flags were not resolving correctly with the JS SDK on the latest versions of Chrome.
On-demand virtual AMA with Ronny Kohavi
We conducted a virtual AMA with Ronny Kohavi and our very own Tim Chan. Check out the recording.
(Video) Statsig's Product Growth Forum Recap
Statsig had the pleasure of partnering with the hosts and founders of the Acquired Podcast to hold the first-ever Product Growth Forum in San Francisco.
Onboarding for growth with A/B tests
A user's onboarding experience can be make-or-break when determining their lifetime usage of your product.
"Your design internship projects got shipped?"
The design process is a collaborative one that involves PMs, engineers, and other stakeholders, and can even pivot 180° as new information surfaces.
Cloud-hosted Saas versus open-source experimentation platforms: What’s the difference?
Trying to fork an open-source platform and host it yourself might be the wrong move—for a myriad of surprising reasons.
Branding update: Introducing Statsig’s new visual identity
Our new brand illustrates the Statsig ethos: A fun, experimental, and communicative company that users can actually trust.
Experimentation platform shopping list: What to look for as a buyer
When vetting experimentation platforms, it's important to know which key intangible traits and modern technical capabilities to look for.
Snowflake and Statsig for experimentation
Using Statsig and Snowflake together can increase the efficiency and effectiveness of your experimentation without over-consuming data science and engineering resources.
On-Demand: 5 steps for non-AI companies to build a great AI-based product
Incorporating AI into your product is easier said than done, especially if you’re not an AI company. We can help.
Fastly x Statsig: Experimentation at the edge
With the new Fastly integration at Statsig, customers can call our API using data stored in Fastly’s globally distributed edge network.
Try Statsig Today
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