Statsig Developer Tier
StatsigReviews from AWS customer
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I was unfamiliar with the product and got an error that I didn't see in the documentation
What do you like best about the product?
Statsig is easy to use and there was also prior art on using statsig at my company
What do you dislike about the product?
there were some performance concerns with statsig; having the ability to seamlessly transition between UI and raw JSON would also be useful.
What problems is the product solving and how is that benefiting you?
Quick way to implement feature gate
Super recommended for any PM
What do you like best about the product?
What's really cool about Statsig, is how flexible it is – you can test in different environments or even run several experiments at once by bucketing users differently. It's also super simple to use and doesn't require any training.
What do you dislike about the product?
Nothing that I currently dislike about the app. An exciting improvement idea would be the integration of AI-powered analysis to automatically surface deeper insights from test results.
What problems is the product solving and how is that benefiting you?
As a Product Manager in a startup, I A/B test every feature I launch, and Statsig has been a total game-changer. It's super simple to get tests up and running, letting me quickly compare results and make data-driven decisions.
Streamlined Experimentation and Feature Management with Statsig
What do you like best about the product?
Statsig makes it super easy to test new features and see what's working. You can roll out features to certain users, track how they perform, and get clear results fast. The dashboard is easy to use, and the automatic analysis saves a lot of time.
What do you dislike about the product?
Price might be a bit high for smaller teams.
What problems is the product solving and how is that benefiting you?
We use Statsig to test new features before launching them to everyone. This helps us avoid shipping changes that might hurt user experience or performance. By running A/B tests and feature rollouts, we can make better decisions based on real data instead of guesswork. It saves us time, reduces risks, and helps us build better products faster.
Best analytics/epxerimentation tool
What do you like best about the product?
Most advanced tool, great pricing, easy to set up and use, even if non technical
What do you dislike about the product?
Analytics could be improved, but I trust that this will come with time
What problems is the product solving and how is that benefiting you?
Improve conversion via analytics and experimentation, making sure we get the most out of traffic
Great tool to use, especially the feature flags
What do you like best about the product?
Easy to use and implementations, the team really loves the integrated feature flags and experiments.
What do you dislike about the product?
It takes some time to really understand and configure the tool, wish you could offer more learning/onboarding materials.
What problems is the product solving and how is that benefiting you?
I would say mostly the feature development, experimentation and decision-making based on data.
Amazing product
What do you like best about the product?
AB testing is not a simple thing to do well, but Statsig provides all the necessary tools in a simple UI to help you.
We were early adopters of Statsig, and from the beginning they were incredibly responsive to our feedback.
We demoed a new integration to our data warehouse, and from the beginning it was very stable.
Today, it's a vital part of our product development cycle.
We were early adopters of Statsig, and from the beginning they were incredibly responsive to our feedback.
We demoed a new integration to our data warehouse, and from the beginning it was very stable.
Today, it's a vital part of our product development cycle.
What do you dislike about the product?
Not much to dislike when they react so quickly to feedback, and constantly come up with features that are useful.
What problems is the product solving and how is that benefiting you?
Providing a reliable platform to do experimentation and feature management.
Very powerful platform that can fit anyone's needs
What do you like best about the product?
Ease of use, customer support, and flexibility to fit into each product stack are all unmatched
What do you dislike about the product?
Integration/implementation was hard initially, but the dedicated support team helped us through it and it ultimately results in a polished, well-rounded product
What problems is the product solving and how is that benefiting you?
Statsig helped us find a cheaper A/B testing platform that is better tailored our product's needs (speed/security, etc.) and not too much extra
Great Custom Support
What do you like best about the product?
They have an amazing product and their customer service team is pretty responsive and helpful.
What do you dislike about the product?
Nothing much. I find statsig to be a really useful product
What problems is the product solving and how is that benefiting you?
Statsig is solving experimentation problem pretty nicely
Reliable product built by experts
What do you like best about the product?
It's a trustworthy and well designed experimentation platform, built by AB testing experts.
What do you dislike about the product?
Some more exotic metric definitions are not yet available.
What problems is the product solving and how is that benefiting you?
Statsig offers full featured experiment analysis. It allows my team to move fast and focus on business impact.
AB testing platform with lots of powerful features
What do you like best about the product?
The ability to both set experiment targeting and evaluate AB test results in the same platform as well as how quick data is loaded into the platform.
What do you dislike about the product?
Due to all the underlying available features it can be bit of an intial learning curve, but once you get into the day to day use of the platform, definitely becomes easier.
What problems is the product solving and how is that benefiting you?
Statsig currently serves as the platform where we set all targeting rules for every experiment or feature rollout as well as serves at the main data visualilzation tool we use to analyze all experiment metrics.
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