Why optimizing for short-term A/B test wins can degrade user trust and product quality. A look at common dark
Only 10–30% of experiments produce a clear winner — and that’s not a problem, it’s reality. This article shows how high-performing teams design experiments to learn faster and make better decisions, even when results are neutral.
Most AI coding tools today help teams build faster, but they don’t provide the feedback needed to know what’s worth building. Feedback loops—drawn from millions of experiments—will be the next breakthrough in agentic coding, making AI smarter, faster, and more valuable to every software team.
Many teams ship features weekly but struggle to measure their true cumulative impact. Holdouts in GrowthBook provide a simple way to maintain a control group across multiple features, answering the critical question: What did all this shipping actually do to our key metrics?
Real data from The Social Hub shows just how much you can save with GrowthBook.
Stop relying on "vibe checks" to ship GenAI. While AI Evals answer "can the model do the job?", only A/B testing answers "do users care?" Discover how to combine offline evaluation with online experimentation to build a reliable pipeline for shipping LLM features.
Why optimizing for short-term A/B test wins can degrade user trust and product quality. A look at common dark
Only 10–30% of experiments produce a clear winner — and that’s not a problem, it’s reality. This article shows how high-performing teams design experiments to learn faster and make better decisions, even when results are neutral.
GrowthBook 4.2 introduces Product Analytics (beta), a Statsig migration kit, and enterprise-scale enhancements. One platform for features, experiments, and analytics.
To celebrate this milestone, let’s look back on how we’ve grown and ahead to where we’re going. Our goal is to help you go faster at scale.
That model topping the leaderboards? It might be the worst choice for your app. Here's why benchmarks are lying to you—and how A/B testing reveals what actually works.
Everything you need to know about Generative Engine Optimization (GEO).
GrowthBook version 4.1 includes Holdouts, Dashboards, AI features, and More!
Most AI coding tools today help teams build faster, but they don’t provide the feedback needed to know what’s worth building. Feedback loops—drawn from millions of experiments—will be the next breakthrough in agentic coding, making AI smarter, faster, and more valuable to every software team.
Most holdouts measure only shipped features. Ours measure everything—including failed experiments. This technical deep dive reveals why we chose reality over clean rooms, and how we built it.
Many teams ship features weekly but struggle to measure their true cumulative impact. Holdouts in GrowthBook provide a simple way to maintain a control group across multiple features, answering the critical question: What did all this shipping actually do to our key metrics?
In under two minutes, GrowthBook can be set up and ready for feature flagging and A/B testing, whether you use our cloud or self-host.
