Statsig Developer Tier
StatsigReviews from AWS customer
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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.
Great experimentation platform - especially for streamlining analytics
What do you like best about the product?
It's very flexible on how to define metrics - we use our own warehouse, so we basically just feed it whatever internal business logic we already had, and Statsig helps us track metrics, check for imbalances, and cut by segments as we need. I use it as a product analyst every time we experiment, and if there is some arcane custom logic we have to run on an experiment one single time, it even outputs the tables to our warehouse so we can easily poke around in SQL.
Documentation is good, and the service staff is responsive; they have helped quickly when there are bugs to fix or stuff we didn't understand.
Documentation is good, and the service staff is responsive; they have helped quickly when there are bugs to fix or stuff we didn't understand.
What do you dislike about the product?
Not much, it can be a little hard to understand the underlying logic sometimes, but that's not the fault of the platform; rather that the users should be good at documenting definitions, because Statsig does allow you to write notes/descriptions where it matters.
The few times I've personally had troubles with Statsig, they've fixed them.
The few times I've personally had troubles with Statsig, they've fixed them.
What problems is the product solving and how is that benefiting you?
It solves the problem of metric creation and governance. Previously, we had a system where each analyst had their own SQL queries for getting metrics for an experiment, balance checks were done *sometimes*, and we'd often needed to end up rerunning them. Then we built a custom system that was git-controlled to standardize the SQL code, but adding experiments was cumbersome, and almost impossible to cut the data by the segments we wanted (at least automatically). Statsig encompasses all that, and then more by putting it all together in a nice package, where each team can more easily understand what the other team is doing (it's a single place for Engineering, Analytics and Product), not only that, but by saving the results of each experiment, we can more easily look back at things, like attributing changes in our metrics to a specific experiment (instead of slowly going through readouts).
AB Testing Made Easy, But Setup Needs Clarity
What do you like best about the product?
I find Statsig's AB testing features highly valuable, particularly the experiments tab that simplifies setting up tests. The Sidecar functionality is incredibly helpful for my team, as it enables us to conduct AB tests without extensive coding knowledge, making testing a more integral part of our workflow for data-driven decision-making. Gathering accurate data and user-friendliness are key aspects that influence my consideration of purchasing Statsig. Overall, these features make Statsig an essential tool for tracking and evaluating the performance of my website pages effectively.
What do you dislike about the product?
I find Statsig challenging to set up initially due to the substantial amount of code involved and my team’s lack of coding expertise. The setting up process was confusing because I wasn't aware of the Sidecar option from the start. It was only after I contacted the support team that I learned about it, and its installation significantly simplified our process. I wish it had been more apparent from the website that Sidecar could be installed on Google Chrome without having to reach out to support. Furthermore, I believe the help articles could be improved with more readability and visual aids to enhance understanding for users like myself, who value user-friendliness.
What problems is the product solving and how is that benefiting you?
I use Statsig for AB testing, which provides me with a method to test the performance of various elements on our website, such as landing pages and calls to action, enabling us to track and gather crucial data for informed decision-making.
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