1d ago · 8 min read · Originally published on rollgate.io/blog/ab-testing-feature-flags. Why A/B Test with Feature Flags? Most teams think A/B testing requires a dedicated experimentation platform — Optimizely, LaunchDarkly Experimentation, or Google Optimize (RIP). Thes...
Join discussion
Dec 23, 2025 · 2 min read · If you’ve ever shipped a change because “the test hit 95%,” this post is for you. Statistical significance is often misunderstood — especially by product and engineering teams running experiments alongside feature work. What Statistical Significance...
Join discussion
Sep 29, 2025 · 3 min read · “I never castle” - Tom, chess player “I never expand” - printf, Starcraft pro-player Constraints lead to innovation. Without constrains, the road is paved and the best you can do is optimize and innovate on top of existing paradigms. That’s how, with...
Join discussion
Sep 28, 2025 · 2 min read · When building digital products, every small decision can significantly impact user engagement, conversion rates, and overall business growth. One powerful way to make these decisions is through A/B Testing. 🔍 What is A/B Testing? A/B Testing (also ...
Join discussionJun 12, 2025 · 3 min read · I used to believe that users do read. Not every word, of course—but surely the important ones. The ones we put in bold. The buttons. The call-to-actions. The value props are written with just the right mix of marketing magic and product truth. That ...
Join discussionJun 5, 2025 · 3 min read · Statistical analysis plays a vital role in data science, scientific research, and business decision-making. One of the foundational tools in this area is hypothesis testing. In this blog, we’ll explore what it means, why it matters, and how we use th...
Join discussionMay 3, 2025 · 5 min read · #66DaysOfData – Day 2 Introduction The Central Limit Theorem (CLT) is the statistical "magic trick" that lets data scientists make reliable inferences from real-world data—even when that data is messy, skewed, or non-normal. CLT Explained: The Key Id...
Join discussionDec 28, 2024 · 11 min read · Introduction As a data scientist, I have the privilege of working on deploying my models to production and the honor of testing their efficacy. This article is a culmination of all the experience I have with A/B testing as I’ve been setting up experi...
Join discussion
Sep 23, 2024 · 10 min read · Suppose you come up with an idea to improve the conversion rates on your website. You could implement the idea and roll out the changes to all users. But what happens if the idea is only good on paper and fails in reality? In cases like this, conduct...
Join discussion
Jun 7, 2024 · 8 min read · When you build a website, your goal is potentially to attract visitors. It is especially true if your website is a software as a service (SaaS) that you want to show to as many potential customers as possible. An obvious choice is to run some marketi...
Join discussion
