GrowthBook

What do you like best about the product?

What I like best about GrowthBook is that it gives teams a practical way to manage feature flags and experiments without making the workflow overly heavy. The interface is generally clear, and it is useful to have experimentation, rollout control, and analysis connected in the same environment. That makes it easier to move from idea to test to decision with more structure and less back-and-forth between teams. I also appreciate the flexibility on the integration side, because it can fit into an existing data stack rather than forcing a completely closed setup. From a ROI perspective, that matters a lot, since it allows teams to get value from experimentation and progressive delivery without necessarily committing to a much larger platform than they need.

What do you dislike about the product?

What I dislike is that some parts of the product still require a certain level of technical comfort, especially when setting up experiments properly, validating data inputs, or making sure the configuration is aligned with the broader analytics environment. The UI is clean overall, but some concepts are not instantly obvious for less experienced users, so onboarding can take a bit of time. Performance is generally good, although the experience depends a lot on how well the underlying setup is implemented. Support and documentation are helpful, but there is still a learning curve if teams are new to experimentation frameworks. On the AI side, this is not really the core reason to use the platform, so its value is much more in control and measurement than in intelligence-led automation.

What problems is the product solving and how is that benefiting you?

GrowthBook solves the problem of releasing features and running experiments without enough control, visibility, or consistency. Instead of relying on ad hoc deployments or fragmented testing practices, it gives teams a more structured way to expose features progressively, define experiments, and evaluate results with a shared framework. For me, that means safer rollouts, better coordination between product and engineering, and more confidence when making decisions based on test outcomes. An additional benefit is that it helps create better discipline around experimentation itself, because teams are encouraged to think more clearly about hypotheses, targeting, and measurement before launching changes. That improves both speed and decision quality over time.

What do you like best about the product?

I use GrowthBook for A/B testing and find it powerful and versatile. The more I set up within GrowthBook, the more I liked it. I appreciate the ability to conduct experiments, which is a key feature for me.

What do you dislike about the product?

The home page could be more intuitive to use and setup key features, and the dashboard could be more immersive. It's a bit barebones for someone just starting without either technical knowledge or having a technical partner. However, I understand that may not be the target demographic.

What problems is the product solving and how is that benefiting you?

I use GrowthBook for A/B testing and product optimization.

What do you like best about the product?

We gather our experimentation data in a separate platform and needed a place to load and analyze it. Growthbook is the only tool we found that allowed us to do that.

What do you dislike about the product?

Nothing so far. I like how the queries are visible so you can see what's happening "under the hood." Other platforms don't allow that.

What problems is the product solving and how is that benefiting you?

Getting accurate analysis from our experimentation data

What do you like best about the product?

It's pretty straight forward if you know your way around other A/B testing tools. Does a really good job at that. Works well in our frontend as well as backend.
Their support is outstanding, we had an issue with our store and I was suspecting growthbook as one of the causes. Quick turnaround and hinting us the right direction did help us fix the real issue of a synchronous script from a third party not loading in time, something I had missed in the network tab myself.

What do you dislike about the product?

Well, could be slightly more opinionated for starters.

What problems is the product solving and how is that benefiting you?

conversion rate optimisation

What do you like best about the product?

The ease of technical implementation, flexibility of connection to data analysis tools and easy management of tests through the tool.

What do you dislike about the product?

I think there could be more use cases and support in the tool's onboarding process

What problems is the product solving and how is that benefiting you?

He helped me make robust customizations within my product by connecting several variables in my code without my technology team having to spend hours on development and also helped me analyze A/B Test data faithfully

What do you like best about the product?

Native datawarehouse and feature flagging capabilies exceed expectations.

What do you dislike about the product?

No current way to preview server side experiments without turning test on.

What problems is the product solving and how is that benefiting you?

We did not have an AB/ Feature testing solution.

What do you like best about the product?

The platform has let us explore multiple rounds of testing as well as a wide variety of metrics to test against. The dashboard is easy to use and read and store test data. The tools for both codebased tests and visual tests has allowed us to both roll out tests fast and learn whilst implementing codebased tests when we have more data to backup the dev time. Overall we are very pleased since switching to GrowthBook.

What do you dislike about the product?

The initial integration was painful. We joined the platform when it first started and some of the documentation was hard to interperet and took months of testing before we were confidnet in fully using Growthbook. Since however, we have had no issues and are thriving using GrowthBook as our primary testing tool.

What problems is the product solving and how is that benefiting you?

Testing variations of elements through split testsing then temporarily rolling out solutions whilst we invest in dev time to implement fully.

What do you like best about the product?

Growthbook fit our needs being open source and able to self-host
Can connect to external data warehouses
Makes running A/B tests from feature flags easy

What do you dislike about the product?

Some features are locked behind the pro and enterprise pricing like advanced permissions by project

What problems is the product solving and how is that benefiting you?

Growthbook is our experimentation platform for running A/B tests on websites. The UI allows non-devs to run experiments after the SDK is configured with a one-time setup.

What do you like best about the product?

Super easy to set up. Great support for a ton of different data warehouse providers. There is very good and thorough documentation as well as a vibrant community for additional help.

What do you dislike about the product?

I was in particular looking for an Angular integration, which the team doesn't provide nor the community. However we made one ourselves, so not a big deal.

What problems is the product solving and how is that benefiting you?

It allows us to quickly set up and conduct experiments - which helps us explore new business opportunities, features etc.

What do you like best about the product?

GrowthBook has proven to be a reliable tool for running experiments and analyzing results. It offers useful features that help streamline the process of making data-driven decisions.

What do you dislike about the product?

GrowthBook offers strong A/B testing capabilities, but the learning curve for advanced features can be steep, especially for new users.

What problems is the product solving and how is that benefiting you?

GrowthBook helps solve the challenge of running and managing A/B tests efficiently, allowing teams to make data-driven decisions with confidence. By simplifying the process of experiment setup, tracking, and analysis, it saves time and reduces the risk of errors. This leads to faster iterations and more informed product development, ultimately improving the overall user experience and driving better results for the business.