Platform
Developers
Resources
KEY FEATURES
GETTING STARTED
Documentation
Documentation to get you started with implementation
Walkthrough Guides
Guides to get you started with Statsig in no time
SDKs and APIs
Explore REST API and SDKs in more than 20 frameworks
Integrations
Learn more about connecting Statsig to your existing tools
A/B Testing Calculator
Looking for a place to start your A/B Test? Try out our calculator
How Statsig Works
Get under the hood and check out how Statsig scales with you
LEARN & CONNECT
Blog
Peak Velocity is our blog where we cover the latest in data
Support
Need help getting set up or have questions about our product?
Customer Stories
Find out how leading companies are using Statsig to grow
Events
Find out about our online and offline events and RSVP to them
Build vs Buy
Compare building an in-house platform vs. buying
Contact Sales
Want to connect with someone from the Sales team?
FEATURED BLOGS
Feature Flags Liberated
Gating features is a core part of the development process. And with Statsig, it's free.
How AI Companies Use Statsig
The best AI companies use Statsig to accelerate growth. Learn how you can do the same.
What is Product Observability?
Product observability means being able to monitor, control, and gain insight into all of your features.KEY FEATURES
GETTING STARTED
Documentation
Documentation to get you started with implementation
Walkthrough Guides
Guides to get you started with Statsig in no time
SDKs and APIs
Explore REST API and SDKs in more than 20 frameworks
Integrations
Learn more about connecting Statsig to your existing tools
A/B Testing Calculator
Looking for a place to start your A/B Test? Try out our calculator
How Statsig Works
Get under the hood and check out how Statsig scales with you
LEARN & CONNECT
Blog
Peak Velocity is our blog where we cover the latest in data
Support
Need help getting set up or have questions about our product?
Customer Stories
Find out how leading companies are using Statsig to grow
Events
Find out about our online and offline events and RSVP to them
Build vs Buy
Compare building an in-house platform vs. buying
Contact Sales
Want to connect with someone from the Sales team?
FEATURED BLOGS
Experiments with Generative AI
We built a generative AI app in reactJS using OpenAI’s API and Statsig. Here’s what we learned:
Experimentation Platforms
The decision to build versus buy an experimentation and feature flagging platform is not an easy one.
CUPED Explained
CUPED is an implementation that uses pre-experiment data to explain the variance in the result data.Testimonials
Enough talking from us
We'll let our customers do the talking now
We'll let our customers do the talking now
"It took us years to build this internally, with a substantial team"
- DS Manager, Fortune 500 Retailer
Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing users’ top priorities.
Statsig takes away all the pre-work of doing experiments. It's really easy to setup, also it does all the analysis. I and most data scientists know the pain of doing this work manually. Statsig takes away all the hard work of doing experimentation, and also does the nice part of seeing what's increasing or decreasing.
Statsig's product focus is exactly what my company wanted when we looked for a new experimentation platform. The features make sense and almost all of them add value for my company.
Statsig helps us quickly figure out which features are valuable for employers. In the last quarter, we’ve launched innovative experiments conceived by engineers, product managers, marketers, and designers.
We use Statsig’s analytics to bring rigor to the decision-making process across every team at Wizehire.
We're innovating at a rapid pace at Tempo, and we need an experimentation platform that is both robust and moves at our speed. Statsig's nimble and responsive team, combined with their simple-yet-powerful platform, make them a natural fit for us.
Making a decision on an experiment is really easy now: We have all our metrics in Statsig and we test all our experiments towards those metrics.
...There's no way to ship things fast, safely without feature flags. ... The ability to conduct experiments, of course, is where feature flags shine the most. Statsig is a relatively new player in the space, but the team's responsiveness to feature requests and questions is what won us over.
Fast-moving product, super responsive team!
When we’ve had technical questions about things like latency, we’ve gotten good insights [from Statsig support], quickly.
We have been using Statsig for 4 months now, having migrated from LaunchDarkly and it's been critical to the adoption of more intelligent experimentation. The product offering is vast while being simple enough to use for small experiments and the analysis options are extensive. We use feature gating and experimentation at large now as a result of adopting Statsig.
[Statsig provides] robust and user-friendly tools for experimentation support!
I’ve been really impressed with Statsig. Some people in our company questioned the results of a test, so I asked Statsig to do an A/A test to make sure the control groups were balanced. It turns out they were already doing that in the background and could see how many metrics were false positives at a 95% confidence interval.
Adoption was very easy. Multiple teams create experiments meaning we're reaching decisions easier and faster with Statsig.
[Statsig is a] critical tool in the day-to-day operation and development of my online software business.
We’ve taken a lot of advice on experimentation from the Statsig slack channel, and that has helped us coach engineers on the team to run better experimentation. Initially only a handful of members had the experimentation mindset; it’s great to see that other teams are also doing it now.
Statsig is user friendly, which is missing from most of the experimentation tools out there like Split. We are using Statsig for feature management, segment management, and logging user patterns.
My team has been using Statsig for over a year now and we find it's such an easy way to run A/B tests. It's efficient for both product and eng and super simple to ship the winning version.
The customer support is extremely reactive to fix issues
Rock solid experimentation tool. Simple yet high-powered. I use it every day.
We have been using Statsig for A/B testing, experimentation, and gradual rollouts of machine learning models with statistical significance.
Statsig offers console APIs, allowing for customization and integration with existing systems. This flexibility enhances our ability to tailor the tool to specific needs, with numerous possibilities to explore through the feature gate.
I like how easy it is to set up and run an experiment. [All the tools Statsig provides] can save a lot of time and team work.
[Statsig Support] has been extremely responsive and supportive for all qualitative things like culture change as well as setting up the tool itself. Statsig has been the best experience I’ve had with any vendor.
We needed to quickly turn off some features for a portion of our userbase. Statsig was by far the quickest way to make that happen. We almost always feature flag new features through statsig now to get better data around the efficacy of said features.
It is easy to set up experiments, collect the results and analyze the metrics. If needed, one can export their data and analyze it externally.
We plan to use Statsig for any new major feature releases. The beauty is that the tool allows us to both run experiments, but also track the impact of feature releases.
Feature gates and experiments are quick to set up and run. There is a lot of customization that can be done in both to be able to create any needed features/tests. We are able to set up quickly test new features and ensure we are not hurting our current app and making improvements before releasing the new feature to everyone.
Tavour helps fill your fridge with unique, craft beers you can’t find locally. We chose to partner with Statsig because it gives Tavour best in class feature flag management combined with unparalleled A/B testing.
With Statsig, we were able to set up a single data integration and view all our exposure events.
Having a culture of experimentation and good tools that can be used widely by cross functional teams is business-critical now. You simply will not survive as a technology company without them. Statsig was the only offering that we felt could meet our needs across both feature management and experimentation. The support we’ve had from their team so far has also been a huge value add.
One notable feature of Statsig is its user-friendly feature gate [which] empowers us to make various adjustments based on the gate.
All engineers and product managers are integrated into the Statsig platform, and we’ve extended its usage to our data science and design teams as well.
Statsig’s SDKs are well documented and their analytics visualization capabilities are intuitive, empowering the entire organization to draw insights that help drive the business forward.
Statsig allows us to run continous sequential A/B tests that require numerous metric criterias. It would be daunting to do it by hand.
Statsig is a powerful driver of data-driven development
Unless you have >5 engineers + 1 Tech Lead with experimentation expertise + 1 year to roll your own experimentation, you're more likely better off using Statsig.
Statsig helps us solve the problem of too many small features going out without knowing the effect.
From waiting a couple months to get data for a test, we are now at a point where we test every little thing before rolling it out and measure impact in real-time.
Statsig is the best option for startups!
Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history.
Our key business decisions, such as implementing an express shipping option, designing the homepage feed, and developing algorithms like recommendations, have all been guided by Statsig’s powerful analytics and A/B testing.
Statsig has transformed the way we build and ship new features, thanks to feature flags and experiments.
I like the ease of implementation for AB tests, and the fact that [Statsig] can connect to multiple tools.
Statsig makes experimentation easy!
Visualizing data helps us see what’s missing. With Statsig, it’s easy to log the required data point and start analyzing it
Our experiments are at times nuanced and Statsig has enabled us to quickly understand the impact of the features we ship. This speed to understanding removes the need for guesswork in analyzing the data, and in the end helps us improve our customer's experience faster.
We were using a market leader but it was too rigid when we asked for new features. Statsig was open for changes from the beginning, if they were reasonable of course!
We transitioned from conducting a single-digit number of experiments per quarter using our in-house tool to orchestrating hundreds of experiments, surpassing 300, with the help of Statsig.
From a technical perspective, the architecture is fantastic for handling scale and any potential outages of Statsig once the SDK has been initialized
I love being able to drill to the daily level of the trends, run reports using the metadata, and having control over metric aggregations as well as how our events are propagated.
Statsig is my most recommended product for PMs
Statsig helped us log events to build out the library of metrics—which is especially important for startups—and that helped us get off the ground faster.
Statsig support has been one of the key parts of our relationship. For every feature we launch, Statsig saves us about 3-5 days of extra work.
Setting up experiments is straightforward. The advanced options are powerful, and we defined experiments with custom exclusion criteria and mutually exclusive tests. The results view sums up everything essential to decide the best variant to ship. The real-time debugging panel is a friendly tool for ensuring everything is set up correctly.
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
We utilize Statsig to perform experiments on our new features, assessing the outcomes against predefined metrics to inform sound decision-making.
We enjoy the ease of setting up A/B tests and the ease of use of feature gates to control what clients will see and use.
We have loads of A/B tests running concurrently, so it’s useful to have a dashboard to configure them.
As someone who worked at Facebook, it's easy to recognize how valuable A/B testing is, and how complex it can be. Statsig took the core principals from the Facebook internal testing systems, to the startups community, and they did it very grace and honor (as its free tier is amazing).
Statsig provides an easy to use experimentation platform that allows developers to add testing in many parts of our website.
Statsig provides all of the tools necessary for rapid experimentation.
Statsig is the best experimentation platform I’ve used
Holdouts, A/B/N Experiments, Dynamic Configs & Targeting tools are all well designed & implemented so you can experiment & learn quickly.
We’ve processed over a billion events in the past year and gained amazing insights about our users using Statsig’s analytics.
Statsig truly democratized data insights and exploration at Matsmart.
We have lots of A/B tests running concurrently, so it’s useful to have a dashboard to configure them.
At OpenAI, we want to iterate as fast as possible. Statsig enables to grow, scale, and learn efficiently.
Statsig enables our entire product development team to easily understand the results of hypothesis tests without a data scientist/analyst needing to interpret, negates the danger of peeking, and makes it easy to double click on interesting results. It makes our process faster, more trustworthy, more collaborative, and more thorough.
With Statsig, you’re able to see more, and more clearly. That comes from the tool itself when but there’s also the experience itself that flows into the info you actually end up getting.
Our primary uses for Statsig have been marketing funnels and game feature optimization. We have seen a measurable improvement to our product KPIs.
Brex’s mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
The integration was very smooth and using the SDK was seamless. [Statsig support] was extremely helpful in getting things up and running and within a couple of weeks, we were running experiments at scale.
Statsig has become the go-to source of truth in our company. Whenever we need to visualize a data point, we simply use Statsig to create a dashboard
Statsig manages my organization's feature flags. It’s very easy to define a feature flag that depends on certain properties. Also, it was very easy to show other users how to use it.
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
While using Statsig, some features we wanted were missing regarding metrics, but the team was very responsive via Slack to answer questions and later on deliver the requested features. As the Statsig product matures, it seems like the team is quickly building out more and more features.
I know that for our key business metrics, we are able to impact them in a positive way with Statsig. Directionally, I can say that we're heading in the right direction with Statsig.
Sometimes my Slack questions aren’t even about the tool, but like ‘how to explain to a non-technical person the intuition behind a p-value,’ and Statsig answers those questions as well!
The fact that Statsig offers feature gating for free is huge - this is something competitors charge thousands of dollars for. There's no reason not to use Statsig!
Statsig is a powerful and flexible tool for rapid iteration and experimentation
The most helpful aspect of Statsig is that rather than complicating and diluting their platform by attempting to solve every development problem, they've focused on one widespread pain point in software development and created a comprehensive, intuitive solution that simplifies the process of feature access management.
Statsig has helped us to follow the experiments, raise the feature gates and achieve dynamic configurations.
Statsig is our primary A/B testing tool. It has enabled us to better refine how we approach feature launches and changed how we talk about success of features within our business. It has helped us lean into a culture that values real results.
Statsig allows us to continuously measure the conversion rate and stickiness of product listings [which] ultimately led to a 75% increase in conversions.
We like Warehouse Native a lot and are in the process of fully migrating to it.
The platform is simple to use and implement into our products. It provides powerful testing solutions that have improved our core business metrics.
We’re just getting better at it. There’s conversations around best practices to figure out what’s working, the whole conversation Statsig is not just for tests, it’s everything we’re shipping in general.
Statsig was building features faster than we were. They generated immediate value.
Statsig allows us to use different units for experiments, such as user IDs and device IDs, a feature not widely supported by many platforms.
Excited to bring Statsig to Whatnot! We finally found a product that moves just as fast as we do and have been super impressed with how closely our teams collaborate.
What I like best about Statsig is the real time insights into how changes in our product our impacting our funnel. It makes it very clear when an experiment has changed a metric. Stastig helps me test new product offerings without committing to a full roll out. It also gives me greater confidence when making changes to critical parts of out order flow that if there is an unforseen bug we can roll something back.
What I am most proud of [about adopting Statsig] is the up-leveling in the complexity of the experiments we are shipping
Statsig is solving the ability to A/B our consumer checkout process, so that we can accurately measure, test and validate optimizations. We have just started with this program but feel that Statsig fully fulfills our needs.
We had two teams both running tests targeting the same user persona. In a non-Statsig world we would’ve had to run test sequentially, but instead we [had] both experiences under one layer. By doing it this way, we were able to get results for both at the same time and easily slashed 2-3 weeks from our development cycle.
With Statsig, we’ve been able to set up holdouts in a controlled manner, modulating the volume of offers and how much we are willing to invest in learning and optimizing our models
Feature flags are just the beginning!
Statsig pricing is significantly more favorable to startups where we have been able to run our experiments without worrying about breaking the bank.
[Statsig’s] granular control of data has been super helpful to us.
Using gates for defining eligibility for experiments is very powerful.
Statsig’s funnel analysis combined with integrated A/B testing has been very powerful for helping us ensure a smooth and swift checkout experience.
Statsig is getting better and better very quickly. The roadmap and responsiveness of the team are impressive.
Statsig makes it easy to create and analyze experiments and features. This enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed, each feature can then be A/B tested and the results analyzed and see the impact on important metrics
[Statsig experimentation] is one of the best ways to build product intuition about what actually works on the ground with real users and customers.
Statsig checked all my requirements when evaluating it. It has good documentation, many SDK options, and a clean dashboard UX. From my experience, they blow the competition out of the water. The best part is an entirely self-serve signup process without the need to talk to sales reps or sign enterprise contracts.
I've been super happy with using Statsig and would recommend it to anyone in the industry.
We wish there were migration tools from other platforms to Statsig.
[Statsig Warehouse Native] enables us to centralize metrics data within our data warehouse. This streamlined approach entails ingesting solely the exposure data from Statsig into the data warehouse, obviating the need to synchronize metrics data from the warehouse to Statsig Cloud.
Setting up our first feature gate was a breeze. Documentation is thorough and placed conveniently throughout the application to make learning new functionality relatively easy.
Statsig provides a experimentation platform, allowing us to roll out new features behind gates. Aata visualization and reporting can be easily understood across different stakeholders.
We are big fans of the Statsig Slack channel; we get incredible responses that help improve our knowledge given that our Engineers have different levels of experimentation experience.
With Statsig, we can explore metrics across the customer journey and utilize charts like ‘funnels’ to effectively prioritize efforts and shape our roadmap decisions.
Statsig helps us with the ingestion of events and numerical data from BigQuery to run experiments that cover numerous functions within a healthcare organisation.
We leverage Statsig so that every experiment we run is linked to an OKR
Prior to Statsig, we were running experiments, but not at the rate and velocity we are today. We used another platform which carried some complexities that required us to conduct analysis outside the platform.
Statsig has been a game changer for how we combine product development and A/B testing. It's made it a breeze to implement experiments with complex targeting logic and feel confident that we're getting back trusted results. It’s the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation.
I've got to say - I'm very very impressed with Statsig's responsiveness to questions and issues we've raised. Gives me a lot of confidence that this is going to be great partnership.
The Statsig Support team is like our partner.
Allows measuring incremental changes to our product through A/B tests. Previously we were using firebase experiments, which had a limitation of running separate experiments for iOS and Android and required us to combine results manually. Statsig helps us run them as a single experiment and provides powerful metrics to easily measure impact.
Before we got Statsig, we found it time-consuming to add feature flags to every feature and couldn’t run experiments without overlaps
If I go to Statsig, I see a bunch of experiments and a bunch of tags being created. So you can really see that people are starting to use it for everything that they're doing. Any new feature that they are launching, any new experiment that they are launching, they're using Statsig.
Before Statsig, we were doing a lot of manual, ad-hoc work, limited to basic feature flagging. Statsig helped us go from 0 to 1.
An excellent experimentation platform!
We like the feature toggle option. It lets us turn features on and off in our tests.
The main reasons we chose Statsig were: it had the best UI that was easiest to understand, its flexibility of API integrations so that it could work across all our product platforms, and the background of the team.
Great data visualizations: Confidence intervals are so often misunderstood, having them visualized is wonderful.
[Statsig] supports us quickly and effectively
I know Firebase has had some updates recently, but the wealth of features Statsig offers, as well as its intelligence and accuracy for A/B testing results, makes it well worth the switch!
Statsig integrates with our events to tell us which AB Test runs best, and you can apply the winner directly to your production site in a few clicks!
Statsig helped to optimize our games for higher retention and revenue.
Statsig’s team is super smart & eager to help with direct Slack channel connections.
Great product, super responsive team
The standout feature of Statsig is that it empowers every team member to access experiment results, enabling confident decision-making.
Statsig as a product is on point. It's easy to use and it provides the features we wanted without workarounds.
Statsig is modern, easy to use, and has great customer support. The ability to turn any feature gate into an experiment is incredibly powerful -- it takes all the guesswork out of feature rollouts.
It is insanely easy to get started with statsig. They support our frontend frameworks and our backend systems not just to feature flag, but to also conduct A/B tests.
Statsig helped our team determine the specific impact of features in ways we could only estimate before. Now, we can communicate to business the value we bring with each feature.
Adopting Statsig has re-shaped how we release software.
Statsig is a game changer!
We’ve successfully launched over 600 features by deploying them behind Statsig feature flags, enabling us to ship at an impressive pace with confidence.
I’m very satisfied with both the speed and quality of the responses in the Slack channel.
Nearly every time I log into Statsig, there are new features to play with
We were able to connect to Statsig with a few lines of code and didn’t even have to speak with Sales to start the trial.
The ease of use and analysis is unmatched by existing solutions.
We started to create a homemade experimentation platform because we were frustrated by the features of mainstream A/B testing tools. However, developing and maintaining such a project requires a dedicated team with many resources. Thanks to Statsig, we could stop our project's maintenance. Analyzing an experiment is very fast. We can manually break down metrics and do group-by / filters operation within the user interface.
Statsig is lightyears ahead of other feature gating and experimentation tools on the market. It's clearly built by people who've done this before at scale!
Great support, great tool. Statsig covers most of our statistical advanced analysis for experiments.
We use Statsig for A/B testing in scale, connected to our Mixpanel events, making it extremely easy and powerful
Statsig is the best experimentation platform, and we tried everything out there.
Statsig lets us measure the effectiveness of product increments by releasing with A/B tests first. We can use custom metrics to measure the impact of new features and they even help you estimate how long it will take to reach significance given historical data. It's a powerful yet easy-to-use platform.
We chose to partner with Statsig because we believed in what their team was building. The Statsig team has been there every step of the way, from implementation to understanding results. They are building something special and we are excited to be apart of the journey!
Statsig has solved both the feature management and our experimentation use cases. For feature management, we have been more confident while deploying, and it has cleaned up our code and implementation quite a bit since we've used Statsig. For experimentation, Statsig has provided us with an easy and comprehensive framework to just run our experiments without worrying too much about the setup.
Kumospace is very tech-centric, and we love the ability to configure Statsig very deeply—and the feature reach that it provides.
We need to roll out some features to customers slowly, and we are using Statsig to test the parts first in the testing environment and then to a small percentage of the users to ensure everything is fine. Statsig is helping in controlling the rollout of the features and as a quick shut-down in case of failure.
Statsig helped us accelerate our testing with its simple onboarding. I’d like to point out the intuitiveness of the Statsig dashboard, setting up experiments, rules, metrics, variants—and how easy and straightforward it all is.
The UI is intuitive and straightforward, and the documentation answered my questions. The prompts for an experiment force you (and your management) to think through what success and failure mean.
The more features or improvements we can test, the better our product becomes. Statsig has helped us go live with tests at a very quick rate and allows us to monitor the results.
Before switching to Statsig, we had to get results from multiple sources, and some of those sources had flaws. Furthermore, the results weren’t easy to share and review with everyone.
Statsig simplifies the process of creating and managing access to new in-development features.
The 28-Day Retention metric in Statsig helps us build a sustainable, long-term business.
We used Statsig for our first experiment and their support helped a lot. We had calls with representatives of other similar tools, but even on the call they didn’t show their expertise or level of support.
Statsig beats any other tool in the market.
When we saw the Statsig dashboard, the sophistication of the platform was evident; the capabilities such as feature flags and experiments is comparable to what you would get at companies like Airbnb
We have been very unsure about certain language/copy on our website, Statsig helped us quickly land on the right choices. Rather than getting caught up in meetings debating what is best, our users made the decision because of Statsig.
We are impressed by the product—and I think we only use a small part of the tool’s features.
Having a dedicated Slack channel and support was really helpful for ramping up quickly.
Engagement is a key metric, and we measure it in all of our experiments. Statsig has helped us look at our experimentation through that perspective as well.
Statsig is a valuable tool for conducting experiments
We started with feature flagging and experimentation, but now are using Statsig entirely for all data analytics and dashboarding as well.
Statsig’s people and vision aligned with our needs. The team exhibited remarkable dedication, humility, and responsiveness, which instilled in us the confidence to forge this relationship.
We chose Statsig to build a culture of experimentation it allows us measure the business impact of changes we shipped; we’re no longer limited to deciphering insights based on pre/post trends and have meaningfully increased both the quantity and quality of tests we can support. This is important as we design products, platforms, and algorithms to improve clinical outcomes and give our patients and providers the best experience with in-home medical care.
Statsig makes it simple and painless for Bonbon to record, measure, and analyze the torrent of information we receive from the open internet.
Statsig is similar to an IT department. It’s just always working—because if it wasn’t, you’d notice.
Very easy to create custom metrics, and great and responsive customer service. Great pieces of the tool for clustering and holdout groups.
Statsig has been very responsive in walking us through use cases, exploring different methods of experimenting, helping us solve our problems, and ultimately helping us hit our goals. Statsig has been awesome.
The team is top-notch and incredibly responsive/helpful. They are very agile, execution-oriented, and genuinely care/listen to users/customers.
Statsig is the front door of experimentation
The first thing that made us see we need something like Statsig is the need for feature gates to really separate who is going to see a new feature and who is not going to see a feature. That’s super useful for us. Experimentation was a plus.
As we searched for a partner to help us with our growth efforts, we needed someone who could provide fast results and insights for us to be able to quickly iterate, which is why we decided to go with Statsig.
Statsig enabled us to test our ideas rather than rely on guesswork. This unlocked new learnings and wins for the team.
You can tell that Statsig is a tool built by qualified data scientists and engineers - it is intuitive, developer friendly and easy to implement. The help service is also incredible, with the support team just a slack away.
The Understood team chose Statsig for its fast integration and quick setup, which allows us to run more experiments and gives us confidence in data informed decision making.
Statsig is investing in the right areas that will benefit us in the long-term.
We greatly appreciate their sequential analysis engine and BigQuery ingestion that allow us to create a full view of how our new features are benefiting the lives of our patients and help us ship high impact features without waiting for full test durations.
Statsig has enabled Numan to move and test at a lightning pace.
I know that what Statsig’s building is on par with and meant to be comparable to a large consumer scale, massive application. That’s what we’re moving towards so this partnership makes sense.
Statsig provides out of the box all the important metrics a company need by just installing the SDK. With all the metrics in one easy-to-find place, Statsig then provides all the instruments to meaningfully move those metrics through experiments, making it incredibly easy to create, analyze, and roll out. If all of that wasn't enough, Statsig provides some incredible tools like dynamic configs that make it easy for the company to move faster and focus on what matters.
Statsig helps Bonbon quickly learn how consumers react to different direct response messages. We use the platform to measure the engagement rates of different copy variants and can easily see how click rates, session depth, time on site, scroll depth and more are impacted by tweaks to the presentation of our offer messages.
Out of the experimentation platforms that I was looking at, Statsig is by far the most modern. The features that have been rolled out, the speed that new features are being rolled out, and the level of customization - it's the closest thing to a long term in-house built experimentation platform. Comparing this to the other platforms makes them seem just honestly like… dinosaurs.
We have a large monthly user base of 50 million MAU, and every user gets bucketed in an A/B test at some point because we conduct different tests across web, iOS, and Android platforms. Statsig enables us to cover all these modalities seamlessly
Statsig maintains a dedicated Slack channel for production support and the collection of user feedback. Their responsiveness is noteworthy, providing prompt and supportive assistance. This collaborative environment contributes to continuous improvement and the development of new features within our systems.
After evaluating alternatives, we chose Statsig because of its incredibly low cost of entry, ease of implementation, and the exciting idea that the same tool we use for feature flags can also be extended into A/B testing and other customization. With very minimal effort, we had Statsig code implemented and were granularly managing the staged rollout of one of our new features. We've had no issues, and I'm excited to continue using it for feature flagging and growing into using it for A/B testing and the even more robust statistical analysis functionality Statsig already has and is continuing to develop.
What we like best about Statsig is the product vision. These guys know exactly where they’re going and we would bet on it.
Statsig is the best experimentation tool on the planet.
Statsig has had a substantial impact on our quality.
It came down to being able to trust in Statsig, and having time savings along with that. There’s not a lot of things I have to configure or set up beforehand.
As a data scientist who uses Statsig primarily for setting up and analyzing product experiments, the platform makes experimentation straightforward. The UX is clear for both technical and non-technical users, and it's easy to set up and understand metrics of interest. I like the ability to tag critical metrics and add these groups to any relevant experiment.
At WeQuilt, we are building a new kind of social network and Statsig has removed the guesswork on what causes our business metrics to move on a daily basis. With Statsig, our team can now create experiments within minutes and get a full picture of how our users are responding at a speed like never before.
Working with the Statsig team feels like we’re working with a team within our own company
We like Statsig’s experimentation and feature flagging, but we also enjoy having a simple way for employees to test out a feature.
All testing and iterations for our flagship news feed release were carried out using Statsig. It played a crucial role in helping us make key decisions about how the feed should look.
We didn’t expect the impact that Statsig Analytics features would have—it was exciting to see everybody in the team explore metrics and create custom dashboards in no time, completely on their own.
The “Explore” tab in Statsig permits us to execute customized queries, facilitating a detailed breakdown based on different groups.
Their support team is great. They answer fast and help with both experiment questions and tech problems.
Statsig helps us move in the right direction. We are able to see which features are improving our UX and which ones not so much, so we as a company can spend our limited resources where it matters most.
I love the features statsig has to offer and how easy it makes it for engineers and product to work together to enable features behind flags!
Statsig enables us to run large numbers of hypothesis tests of various forms with a tiny data team. We trust our results and that lets us move quickly through the product development process.
Statsig allows us to run A/B experiments on our product. We use it to ensure variants are shipped evenly to the right user cohort. We also use it to understand whether a variant performs better than others.
Statsig saves a lot of time in two processes. One is configuring experiments: It’s very easy to just add feature flags to the code and implement it. The other is the analysis: Statsig makes it way faster to analyze the data, as a data scientist.
What builders love about us
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
CPO
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering