GrowthBook is the open-source, warehouse-native platform for modern product teams and their AI agents. Use feature flags, experimentation, product analytics, and AI evaluations to ship safely, measure real-world impact, and learn what works. Build, launch, and analyze experiments with natural language, while keeping your data in the stack you already trust. Available in the cloud or self-hosted. Build with AI. Validate with evidence.
This is the 2nd launch from GrowthBook. View more
GrowthBook 5.0
Launched this week
GrowthBook 5.0 brings feature flags, experimentation, and product analytics into one AI-native, warehouse-native platform. Build no-code experiments in the browser with the new AI Visual Editor, let agents create flags and draft experiments with 25 open-source Skills, explore product data through the in-app AI Assistant, and ship safely with stronger governance. Faster queries and a streamlined experiment workflow help every team move from idea to insight with less friction.
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@alyssanicoll We hit the classic problem where the experimentation tool was solid but nobody outside the growth team could read the results, so calls still happened on vibes. What did 5.0 change on the interpretation side for non-technical stakeholders? Flags are easy, getting a PM to trust the readout is the real work.
@artem_fedorovich
Yeah, this is exactly the hard part. Running the experiment is one thing. Getting someone outside the growth or data team to look at the result, understand it, and actually trust what they are seeing is the much bigger job.
I would not say 5.0 magically solved that, but it did make a lot more of the interpretation work self-serve.
You can use the in-app chat to ask questions about an experiment without having to know how to read every part of the results view first. You can ask what changed, what looks meaningful, or where you should dig deeper. Experiment dashboards also make it easier to bring the result, the supporting metrics, and the surrounding context into one place instead of sending someone through five different screens and hoping they piece it together.
And because 5.0 is much more agent-friendly, you can also use the AI tool you already work in to help analyze results, explain the readout, or ask follow-up questions in more natural language. So it is less “here is the stats page, good luck” and more “here are a few different ways to understand what happened.”
That does not remove the need for good metric definitions or healthy skepticism. But it does mean a PM or stakeholder can get much further on their own before they need an analyst to translate everything for them. That is really the shift in 5.0: making experimentation easier to understand, easier to explore, and a lot more self-serve.
There’s a much deeper walkthrough here if you want to dig in: GrowthBook 5.0 Product Analytics GA