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Statsig Reviews & Product Details - Page 11

Statsig Overview

What is Statsig?

Statsig is a complete platform for product growth, with 4 major products: experimentation, feature flagging, product analytics, and session session replays. All of Statsig's products are powered by a single of data and infrastructure, and can be run in your data warehouse. Today, thousands of companies rely on Statsig, including OpenAI, Notion, Atlassian, Microsoft. Statsig can help you... - Iterate Faster: Turn ideas into tests or scale your current experimentation program with the world’s most powerful experimentation infrastructure & stats engine. - Ship Smarter: Speed up releases without increasing risk. Link every release to product data for automated alerts and guardrails, then give your whole team the power to ship and watch the magic happen. - Learn more from your data: Empower every stakeholder on your team — from Product to Engineering to Data —with unified analytics, backed by one set of data and a full set of product analytics tools. The Statsig team has worked helped build data-driven cultures at some largest enterprises in the world - and we're here to help you, wherever you are on your journey. And no matter how big (or small) you are, our tools will scale to meet your needs and help you cut spend. Are you ready to start your data-driven journey?

Statsig Details
Product Website
Languages Supported
English, Spanish
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Product Description

Statsig is a complete platform for experimentation, feature flagging, product analytics, session replays, and more, trusted by more than 3,000 companies around the world - including OpenAI, Notion, Figma, Atlassian, and Brex. All of Statsig's products are powered by a single of data and infrastructure, and can be run in your data warehouse. Statsig can help you... - Iterate Faster: Turn ideas into tests or scale your current experimentation program with the world’s most powerful experimentation infrastructure & stats engine. - Ship Smarter: Speed up releases without increasing risk. Link every release to product data for automated alerts and guardrails, then give your whole team the power to ship and watch the magic happen. - Learn more from your data: Empower every stakeholder on your team — from Product to Engineering to Data —with unified analytics, backed by one set of data and a full set of product analytics tools. The Statsig team has worked helped build data-driven cultures at some largest enterprises in the world - and we're here to help you, wherever you are on your journey. And no matter how big (or small) you are, our tools will scale to meet your needs and help you cut spend. Are you ready to start your data-driven journey?

How do you position yourself against your competitors?

Statsig is a single, unified platform that combines many products, including the world's best experimentation platform, plus feature flags, product analytics, session replay, and more. One platform mean less time spent configuring connections, complete alignment on data, and serious cost savings.

Other key differentiators include:
- Scalable, reliable infra: We process over 1 trillion events per day and deliver features to billions of daily active users
- Warehouse native deployment: All products can be run on top of data in your warehouse
- The world's most advanced stats engine: Leverage advanced test types (sequential and switchback tests), sophisticated stats treatments (e.g., CUPED, Winsorization) and other advanced experimentation features (e.g., stratified sampling)

To see articles comparing us to competitors, go to statsig.com/comparison


Seller Details
Seller
Statsig
Company Website
Year Founded
2021
HQ Location
Bellevue, US
LinkedIn® Page
www.linkedin.com
97 employees on LinkedIn®
Description

Statsig is the leading product experimentation platform that helps businesses use data to ship fast and build better products. Companies like Microsoft, Figma, Notion, Flipkart, Eventbrite, Ancestry, Headspace, and Univision use Statsig to manage feature rollouts, automate experiments, and make decisions based on performance metrics. Founded in
0
1 by former Facebook engineers, Statsig supports thousands of experiments impacting over a billion end users globally. Statsig democratizes experimentation, an essential aspect of reducing development risk, and previously only accessible to big tech companies.


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Recent Statsig Reviews

Kenese L.
KL
Kenese L.Enterprise (> 1000 emp.)
5.0 out of 5
"Powerful tool for experimentation"
A lot of control around exposures and metrics
Niral K.
NK
Niral K.Enterprise (> 1000 emp.)
5.0 out of 5
"Intuitive and amazing all-in-one experimentation platform"
Statsig provides a platform for the entire lifecycle of an experiment. The clear distinction between different concepts like events and metrics ena...
Verified User
U
Verified UserEnterprise (> 1000 emp.)
5.0 out of 5
"Great Product"
Great product for experimentation, reduces lot of manual effort, and very easy to use
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Statsig Media

Statsig Demo - Feature Gates (aka "Flags")
Control releases for any front-end or back-end functionality within minutes with Statsig SDKs. Target users with flexible rules and define segments to roll out features based on your desired radius of exposure. Monitor the health of your rollout with a suite of gate health checks and see exposure...
Statsig Demo - Advanced Product Experimentation
Meet all your experimentation needs with a unified platform that connects what you build with the impact you deliver. Statsig powers A/B/N tests and experiments on any device, in any part of the application stack, at any scale.
Statsig Demo - Dashboard
Track your team's progress and quickly review key metrics for your product all in one place.
Statsig Demo - Home
Track progress across your whole team - including changes in core metrics, number of features released, and number of experiments shipped.
An overview of Statsig's product, from our Head of Product
Play Statsig Video
An overview of Statsig's product, from our Head of Product
A deep dive on experimentation best practices
Play Statsig Video
A deep dive on experimentation best practices
Detail on Statsig Warehouse Native
Play Statsig Video
Detail on Statsig Warehouse Native
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Have you used Statsig before?
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137 Statsig Reviews

4.8 out of 5
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137 Statsig Reviews
4.8 out of 5
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4.8 out of 5

Statsig Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for StatsigQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
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Charlie A.
CA
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

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. The docs are great and they are very responsive on their slack. I like that the code for their SDK's is open source so if I have questions after hours that aren't answered in the docs I can look around myself. They work seamlessly with Segment which was a must have. The custom metrics are really powerful and have worked very well for us. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

I dislike that feature gates and dynamic configs are different concepts. Same with Layers and Experiments. Layers aren't very useful for us because we typically need to leave targeting on when we ship, which permanently takes up some of the audience directed to a layer. Also, I wish the SDKs refreshed with the latest rules more often by default; instead we have to implement our own refreshes by calling updateUser all the time, which is kind of annoying. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Eric C.
EC
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

I love how easy it is to quickly see and understand the results of an experiment. 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. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

I have heard feedback from the less technical users that the UI can be confusing, but many improvements have been made in this area. In particular, it was not obvious to users to hover over the delta report result to drill in to a particular metric, so more signals around that may help. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Antoine T.
AT
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

Former Facebook / Meta employees created it.

It had a substantial impact on the quality thanks to the strong experimentation culture of this digital giant.

It is well-born and still getting better and better very quickly. The roadmap and the responsiveness of the team are impressive.

We are impressed by the product, and I think we only use a small part of the tool's features (we are currently using it for experimentation and not for feature flipping or to mitigate risks related to feature delivery). Review collected by and hosted on G2.com.

What do you dislike about Statsig?

Hard to tell. Usually, when we have an issue, or something is missing, the product is updated quickly.

I think competitors will have many more reasons to dislike Statsig than users :-) Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Lluís U.
LU
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

I love Statsig UX. 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. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

User data takes some hours/a day to be in the summaries. This delay also affects the health checks on the experiment setup page. Getting the Stable IDs to override experiments for functional testing purposes is cumbersome. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Emily P.
EP
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

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. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

We don't use the SDK, we ingest from our warehouse, and setting up those data pulls & associating metrics is nontrivial. Once you're up the learning curve it gets easier but the first time we were definitely glad to have access to their Slack space. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Kameron T.
KT
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

Statsig has enabled Numan to move and test at a lightning pace. 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. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

It can be complex to understand the results tab and the initial setup can be daunting without coding or statistical knowledge. But once it's setup you don't need to worry about it again. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

Ingestion of events and numerical data from BigQuery to run experiments that cover numerous functions within a healthcare organisation.

Running continous sequential A/B tests that require numerous metric criterias. It would be daunting to do it by hand. Review collected by and hosted on G2.com.

BS
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

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.

Additionally, their team is very responsive to feedback and constantly builds tools to improve the developer experience of their customers. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

There isn't a whole lot to dislike about Statsig, but I would like to be able to see more granular analytics and history on the activity of specific feature gates. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

The primary problem that Statsig solves in my day-to-day work is that it simplifies the process of creating and managing access to new in-development features. Review collected by and hosted on G2.com.

Zachary J.
ZJ
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

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. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

I haven't encountered any major pain points, but there are 1 or 2 nitpicks. The "Layers" section can be challenging to locate if you don't know where it is. Initially, I expected that section to be in the sidebar next to "Feature Gates" and "Experiments."

The documentation explains how to use Statsig and comprehensively answers our questions about an initial implementation. However, I would have loved thorough API documentation for more fine-grained technical questions (what are all of the methods on this object, an explanation of what each argument on a method does, etc.) Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services
UI
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review
What do you like best about Statsig?

I like how feature-rich the product is. I mainly use Statsig for feature gates, experiments, and dynamic configs, making deploying easier and the code cleaner. The UI is easy to use and provides easy ways for us to manage all of our configurations. The experimentation framework is instrumental in letting us target the right users and providing insights to help make a decision afterward. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

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. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Verified User in Broadcast Media
UB
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Statsig?

Very easy to create custom metrics. I wish we were able to backfill them though, I'm not sure why we can't.

Great and responsive customer service. Great pieces of the tool for clustering and hold out groups. Review collected by and hosted on G2.com.

What do you dislike about Statsig?

It probably needs a bit more onboarding for a team that doesn't have experimentation experience. The tools aren't super intuitive. A big question in experimentation is picking a big enough sample and the tool takes that for granted.

Some features like funneling and aggregated metrics are lackluster. Review collected by and hosted on G2.com.

What problems is Statsig solving and how is that benefiting you?

Too many small features going out without knowing the effect. I think we're still suffering from the question "why aren't my results significant" so there could be more guidance for team members on why that could be. Review collected by and hosted on G2.com.