Statsig Developer Tier
StatsigReviews from AWS customer
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Review
What do you like best about the product?
I really don't like much, I think it's very difficult to experiment with this.
What do you dislike about the product?
The table that we get in SQL only brings one impression per user and only when the user reach the screen in the experiment. For me it should bring impressions every time the user ENTERS the app. Also I don't like that the table doesn't load impressions form the same day. In the platform Is difficult to link 2 experiments and assign a proper configuration for both (you can do it with a hold out group but if I have two completely different experiment I cannot put 2 default configs in that).
What problems is the product solving and how is that benefiting you?
None, I preffered the old platform that we used to use
Powerful A/B testing that rivals the best toosls I’ve used at Meta and other companies
What do you like best about the product?
Statsig is a lot like the high-end experimentation tools I had at Meta. It's fast, accurate, and able to handle tests at scale but still has a nice UI and doesn't require a lot of heavy setup. I can launch an A/B test very quickly and easily share the dashboard with the rest of my team. It's also easy to dig into specific segments to find insights I’d probably miss otherwise. As a PM running lots of experiments, it’s become the main tool we use to reliably make run experiments and make launch decisions.
What do you dislike about the product?
Some of the advanced features to dig in and see different insights and cohorts takes some time to learn, but once you get the hang of them, they’re incredibly useful.
What problems is the product solving and how is that benefiting you?
Reliably running A/B experiments and making launch decisions on whether we should launch it or not.
Experimentation on all level
What do you like best about the product?
Statsig has many perks that the previous experiment tool we had was missing of those feature, such as layer, gradual rollout, etc, also how it connects e2e metrics we have. With statsig, everyone has the same chance to conduct an experiment, whether it is technical or product-based experimentation. We could see the direct impact of what we are doing on a technical level and how it affects the business metrics we have. They also have a helpful AI assistant.
What do you dislike about the product?
The price is might not the cheapest one but It is totally worth it investment
What problems is the product solving and how is that benefiting you?
Manage component with dinamic config and feature flag help us reduce complexity on the code.
A/B Test could be prepared instantly with celar metrics.
Post experiment monitoring also easy with this.
A/B Test could be prepared instantly with celar metrics.
Post experiment monitoring also easy with this.
Powerful experimentation platform with room for simplification
What do you like best about the product?
Stat Sig offers a wide range of powerful features that make it easy to adapt the platform to the many types of experiments I run daily. I use it almost every day to track key metrics and monitor performance, which significantly reduces my workload. It also gives me a comprehensive view of how all experiments are performing across the board.
What do you dislike about the product?
Sometimes it’s easy to get lost in the number of features or unsure about the right way to configure a test. While that’s not entirely the platform’s fault—it’s also related to how our team is structured—different groups use the tool differently, and when issues come up, they tend to be very specific and hard to replicate across other teams.
What problems is the product solving and how is that benefiting you?
Reducing time on tracking key metrics and easily manager features , less clicks and approvals.
Great experimentation tool
What do you like best about the product?
The best thing about Statsig is how easy it is to view updated results of a running tests by their pulse results but also via dashboards & metrics
What do you dislike about the product?
The downside of Statsig is it's rigidness to make changes. There's a very specific way of configuring so making changes is very time consuming
What problems is the product solving and how is that benefiting you?
Conecting tests with results
Great tool and support from the Statsig team
What do you like best about the product?
Easy use, easy integrations, great flexibility for different implementations and use cases
What do you dislike about the product?
Not yet there for other type of experiments like switchbacks. Even thought the tool exist, there're few features for those types of experiments
What problems is the product solving and how is that benefiting you?
Helping on product rollouts, product improvements, hyper-params optimization
Great tool with a great team behind it
What do you like best about the product?
Our team benefits greatly from the non-profit discount we get and the high volume of events we can log. Its awesome to have a tool that has A/B testing and Product Analytics in the same place. The team has been so helpful and the improvements to the site are rapid. We have been able to scale up A/B testing. We are also able to track users who use our platform signed out in a way we never could before
What do you dislike about the product?
The biggest point of frustration with Statsig is needing to make a bunch of custom metrics on top of all the events that are logged. The list just gets really long and not easy to manage. I wish that would go away.
What problems is the product solving and how is that benefiting you?
- Tracking anonomous users
- product analytics (monitoring trends, seeing user patterns, etc)
- A/B testing features before launching
- product analytics (monitoring trends, seeing user patterns, etc)
- A/B testing features before launching
Best in Producy Experimentation and Feature Management Platform.
What do you like best about the product?
1. Easy and simple to roll out features using flags. 2. A/B Testing is top tier, automated analysis 3. event tracking is amazing. For, data-driven product development, statsig is absolutely worth considering.
What do you dislike about the product?
Nothing as of now. I believe UI/UX can be a little better. But it simple so easy to understand.
What problems is the product solving and how is that benefiting you?
1. Real time Insights 2. For A/B Testing I love the automated analysis part.
Improving the statistical analysis
What do you like best about the product?
It is a tool that allows for precise statistical analysis. It presents several solutions to adapt to the needs of the company. Throughout the entire execution, measurement and reading process, it offers suggestions and good practices to obtain the best results.
What do you dislike about the product?
I think they can improve the interface with which they show results and spaces to consolidate results from several experiments.
What problems is the product solving and how is that benefiting you?
As a company, we are constantly changing and we need to be optimizing and improving our processes. However, before making any final decision, we test with random samples of users to see which one is the most efficient for the business. Statsig has helped us run experiments more efficiently and with better practices.
An efficient, practical, and modern tool
What do you like best about the product?
Its UI is friendly and clear. I’ve been working with the tool for over a year now, and the experience has been very positive. I work directly in an experimentation and analytics team, and as a Statsig administrator, I’ve been involved in the entire experiment setup process. The interface for defining targeting rules is simple and intuitive, and the results section is truly powerful.
One feature I’ve recently started using and found especially useful is assignment sources. If you have an external process outside of Statsig and simply want to use the platform to analyze results, this option offers an incredible engine for standardizing metrics. It allows you to quickly understand the behavior of key metrics.
Today, I can confidently say that Statsig has become our main tool for daily analytics. The migration process was smooth in terms of implementation, and we integrated more than 28 teams across the company—always supported by the close guidance of Statsig’s technical team.
One feature I’ve recently started using and found especially useful is assignment sources. If you have an external process outside of Statsig and simply want to use the platform to analyze results, this option offers an incredible engine for standardizing metrics. It allows you to quickly understand the behavior of key metrics.
Today, I can confidently say that Statsig has become our main tool for daily analytics. The migration process was smooth in terms of implementation, and we integrated more than 28 teams across the company—always supported by the close guidance of Statsig’s technical team.
What do you dislike about the product?
There are sections I haven’t had the chance to explore yet, such as Power Analysis or Autotune. However, I wouldn’t say they aren’t useful—on the contrary, I recognize that it’s more a matter of my own unfamiliarity. I’m sure they are highly valuable and useful tools.
Regarding my experience, perhaps the only drawback I’ve identified so far is the flexibility when integrating certain fields from databases. We’re currently working on adding segments to experiments—such as user type, city, or boolean fields indicating, for example, whether a user has an active subscription. While working directly within Statsig, adding these segments is straightforward. However, if you want to bring that information into a large-scale database report, it can become more complex to integrate these fields efficiently.
Regarding my experience, perhaps the only drawback I’ve identified so far is the flexibility when integrating certain fields from databases. We’re currently working on adding segments to experiments—such as user type, city, or boolean fields indicating, for example, whether a user has an active subscription. While working directly within Statsig, adding these segments is straightforward. However, if you want to bring that information into a large-scale database report, it can become more complex to integrate these fields efficiently.
What problems is the product solving and how is that benefiting you?
Without a doubt, it’s a tool that brings structure and order. From user management to the creation of experiments, feature gates, or dynamic configs, everything is designed to follow best practices and streamline operations.
We’ve really appreciated the environment it provides to clearly evaluate whether an experiment is successful and whether it should be scaled or rolled back. The way results are presented allows us to act quickly and confidently.
Having everything centralized in a single platform from the experiment configuration tab, through the assignment sources, to the metrics catalog enables us to make decisions directly within the tool.
We also want to highlight the flexibility to integrate our own models through Assignment Sources, which further expands our analytical capabilities.
Finally, all of this benefits us as a company by giving us greater visibility into what different teams are doing, making us more efficient and much clearer in our decision-making.
We’ve really appreciated the environment it provides to clearly evaluate whether an experiment is successful and whether it should be scaled or rolled back. The way results are presented allows us to act quickly and confidently.
Having everything centralized in a single platform from the experiment configuration tab, through the assignment sources, to the metrics catalog enables us to make decisions directly within the tool.
We also want to highlight the flexibility to integrate our own models through Assignment Sources, which further expands our analytical capabilities.
Finally, all of this benefits us as a company by giving us greater visibility into what different teams are doing, making us more efficient and much clearer in our decision-making.
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