Product Updates

We help you ship faster. And we walk the walk
Vineeth Madhusudanan
Product Manager, Statsig
1/30/2025
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Results in your Warehouse

People running many experiments use Statsig's Meta-analysis tools. When they want to explore this dataset more directly, they've had access to it via the Console API. We're now adding the ability to have Statsig push the final results that are visualized in the Console, into your warehouse also.

This feature is gradually rolling out across Statsig Warehouse Native customers.

Brock Lumbard
Product Manager, Statsig
1/27/2025
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Java Server Core

Server Core is a full rewrite of our Server SDKs with a shared, performance-focused Rust library at the core - and bindings to each other language you'd want to use it in. Today, we're launching Java Server Core.

Server Core

Server Core leverages Rust's natural speed, but also benefits from being a single place that we can optimize our server SDKs' performance. Our initial benchmarking suggests that Server Core can evaluate configs 5-10x faster than native SDKs.

You can install Java Core today by adding the necessary packages to your build.gradle - see our docs to get started. In the coming months, we expect to ship Server Core across Node, Python, PHP, and more!

Vineeth Madhusudanan
Product Manager, Statsig
1/24/2025
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Interaction Detection on Experiments

We shipped Interaction Detection on Statsig Warehouse Native last year. We've now brought it to Statsig Cloud customers too.

What is Interaction Detection

When you run overlapping experiments, it is possible for them to interfere with each other. Interaction Detection lets you pick two experiments and evaluate them for interaction. This helps you understand if people exposed to both experiments behave very differently from people who're exposed to either one of the experiments.

Should I worry about it?

Our general guidance is to run overlapping experiments. People seeing your landing page should experience multiple experiments at the same time. Our experience is echoed by all avid experimenters (link). Teams expecting to run conflicting experiments are typically aware of this and can avoid conflicts by making experiments mutually exclusive via Layers (also referred to as Universes).

Read more in docs or the blog post.

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Shubham Singhal
Product Manager, Statsig
1/21/2025
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Reimagining Console Settings: A Cleaner, Smarter Experience

We've completely redesigned our Console Settings to streamline how you manage your Statsig projects. The new architecture brings three major improvements:

Intuitive Navigation: Navigate effortlessly with our new left sidebar, putting every setting at your fingertips. No more hunting through nested menus.

Product-Centric Organization: Each Statsig product—Experimentation, Feature Gates, and Product Analytics—now has its dedicated configuration hub. Tailor each product's settings to your exact needs, all from one central location.

Hierarchical Control: Configure settings at Team, Project, or Organization level, ensuring consistency while maintaining flexibility. Perfect for enterprises managing multiple teams and projects.

This redesign is live now. Log in to explore the new experience.

Vineeth Madhusudanan
Product Manager, Statsig
1/17/2025
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Slicing by frequently used user properties

Statsig let's you slice results by user properties. Common examples of doing this include breaking down results by user's home country, subscription status or engagement level.

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This typically requires running a custom query (from the Explore tab). You can now configure these properties to be pre-computed on the experiment setup page, under the advanced settings. It's also possible to configure team-level defaults for this - or pre-configure it on an experiment template.

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This is now rolling out on Statsig Warehouse Native. See docs.

Shubham Singhal
Product Manager, Statsig

Reimagining Console Settings: A Cleaner, Smarter Experience

Our data science team noticed rising support tickets around warehouse data not appearing correctly in Statsig. Investigation revealed most issues stemmed from unclear error feedback and limited self-service capabilities, leading to unnecessary delays and support escalations.

Today, we're launching two key improvements:

Error Visibility: Consolidated error table across all data sources with clear, actionable messages and troubleshooting steps. A single view replaces the previous table-by-table navigation.

Self-Service Resolution: Step-by-step diagnosis flow lets users verify their connection setup and SQL queries, with immediate data re-ingestion once fixed.

These updates aim to help you discover any integration issues with your data warehouse connection and fix those issues without needing to depend on our internal support. We'll continue expanding these capabilities based on your feedback.

Data Ingestions
Margaret-Ann Seger
Head of Product, Statsig

👥 Filtering by User Dimensions in Custom Metrics

Today, we’re introducing the ability to filter by User dimensions in Custom Metrics on Statsig Cloud. Previously, you could filter by the Value of a metric, as well as any custom Metadata. Now, you can filter by both Statsig-populated User Object attributes (”User” → “Property”) as well as any Custom user attributes you’ve set in your User Object (”User” → “Custom Property”).

Filtering by User Dims
Akin Olugbade
Product Manager, Statsig
12/16/2024
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🛣️ User Journey Analysis Clarity

We've made user journeys simpler to build and easier to read. You now have more options for focusing your analysis, with clearer controls and easier-to-read charts.

What You Can Do Now

  • Choose between including specific events or excluding unwanted ones in your analysis

  • Control visualization density by setting the number of paths to show at each step

  • When expanding journey sections, property names and values are easier to read and understand

How It Works

Instead of just percentage thresholds, you can now specify exactly how many paths you want to see at each step. For example, show just the top 5 most common paths to keep your analysis focused. We've also improved the layout when you dig into user properties, making the information clearer at a glance.

Impact on Your Analysis

These changes make it easier to find what matters:

  • Build your analysis the way that works best for you - by including or excluding events. This makes it easier to build charts that aren't noisy or cluttered.

  • Keep your charts focused by showing only the most important paths

  • Spot patterns quickly with clearer property labels

Ready to try it out? Head to the User Journey section to see these changes.

user-journey-clarity
12/12/2024
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🔍 Filter Analysis by Features and Experiments

Now you can limit your metric analysis to users who saw specific versions of features (through feature gates) or were part of specific experiment variants. This lets you measure exactly the user experience you want to understand.

What You Can Do Now

  • Filter metrics by feature gate rules to analyze specific user experiences

  • Focus on experiment variants to understand test results

  • Track metrics for specific feature versions and variants

How It Works Select your metric, then use the filters to choose any feature gate rule or experiment variant. Your analysis will show data only for users who match those criteria.

Impact on Your Analysis This improvement helps you analyze feature performance more precisely:

  • Compare metrics for different feature versions

  • Validate experiment results for specific features

  • Debug issues by isolating exact user experiences

Deeper Understanding Through Sessions Combine these filters with Session Replays and Session Streams to see exactly how users experience your features. Watch full session recordings or follow event streams to understand the context around specific feature interactions.

Akin Olugbade
Product Manager, Statsig
12/12/2024
Permalink ›

🎯 Add Dashboard Widgets in Place

We've improved dashboard building by letting you add widgets exactly where you want them. Instead of always adding to the bottom of your dashboard, you can now insert new visualizations between existing widgets.

What You Can Do Now

  • Add widgets directly between existing charts

  • Add widgets to smartly fill empty spaces on the dashboard

  • Insert new charts right where you're working

How It Works

Click the "+" button between any widgets to add a new visualization right at that spot. You can add widgets between widgets on the same row, or create a new row between sets of widgets. You can also add widgets directly in empty spaces on a dashboard .

Impact on Your Analysis

This improvement makes dashboard building faster and more natural:

  • Build dashboards in fewer steps

  • Organize visualizations logically as you work

  • Spend less time arranging, more time analyzing

Build your dashboard more efficiently by adding widgets exactly where you need them.

add dashboard in place

Loved by customers at every stage of growth

See what our users have to say about building with Statsig
OpenAI
"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."
Dave Cummings
Engineering Manager, ChatGPT
SoundCloud
"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."
Don Browning
SVP, Data & Platform Engineering
Recroom
"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."
Joel Witten
Head of Data
"We knew upon seeing Statsig's user interface that it was something a lot of teams could use."
Laura Spencer
Chief of Staff
"The beauty is that Statsig allows us to both run experiments, but also track the impact of feature releases."
Evelina Achilli
Product Growth Manager
"Statsig is my most recommended product for PMs."
Erez Naveh
VP of Product
"Statsig helps us identify where we can have the most impact and quickly iterate on those areas."
John Lahr
Growth Product Manager
"The ability to easily slice test results by different dimensions has enabled Product Managers to self-serve and uncover valuable insights."
Preethi Ramani
Chief Product Officer
"We decreased our average time to decision made for A/B tests by 7 days compared to our in-house platform."
Berengere Pohr
Team Lead - Experimentation
"Statsig is a powerful tool for experimentation that helped us go from 0 to 1."
Brooks Taylor
Data Science Lead
"We've processed over a billion events in the past year and gained amazing insights about our users using Statsig's analytics."
Ahmed Muneeb
Co-founder & CTO
SoundCloud
"Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history."
Zachary Zaranka
Director of Product
"Statsig enabled us to test our ideas rather than rely on guesswork. This unlocked new learnings and wins for the team."
David Sepulveda
Head of Data
Brex
"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."
Karandeep Anand
President
Ancestry
"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."
Partha Sarathi
Director of Engineering
"Statsig has enabled us to quickly understand the impact of the features we ship."
Shannon Priem
Lead PM
Ancestry
"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."
Partha Sarathi
Director of Engineering
"Working with the Statsig team feels like we're working with a team within our own company."
Jeff To
Engineering Manager
"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
Founder
"We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire."
Nick Carneiro
CTO
Notion
"We've successfully launched over 600 features behind Statsig feature flags, enabling us to ship at an impressive pace with confidence."
Wendy Jiao
Staff Software Engineer
"We chose Statsig because it offers a complete solution, from basic gradual rollouts to advanced experimentation techniques."
Carlos Augusto Zorrilla
Product Analytics Lead
"We have around 25 dashboards that have been built in Statsig, with about a third being built by non-technical stakeholders."
Alessio Maffeis
Engineering Manager
"Statsig beats any other tool in the market. Experimentation serves as the gateway to gaining a deeper understanding of our customers."
Toney Wen
Co-founder & CTO
"We finally had a tool we could rely on, and which enabled us to gather data intelligently."
Michael Koch
Engineering Manager
Notion
"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."
Mengying Li
Data Science Manager
Whatnot
"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."
Rami Khalaf
Product Engineering Manager
"We realized that Statsig was investing in the right areas that will benefit us in the long-term."
Omar Guenena
Engineering Manager
"Having a dedicated Slack channel and support was really helpful for ramping up quickly."
Michael Sheldon
Head of Data
"Statsig takes away all the pre-work of doing experiments. It's really easy to setup, also it does all the analysis."
Elaine Tiburske
Data Scientist
"We thought we didn't have the resources for an A/B testing framework, but Statsig made it achievable for a small team."
Paul Frazee
CTO
Whatnot
"With Warehouse Native, we add things on the fly, so if you mess up something during set up, there aren't any consequences."
Jared Bauman
Engineering Manager - Core ML
"In my decades of experience working with vendors, Statsig is one of the best."
Laura Spencer
Technical Program Manager
"Statsig is a one-stop shop for product, engineering, and data teams to come together."
Duncan Wang
Manager - Data Analytics & Experimentation
Whatnot
"Engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!"
Todd Rudak
Director, Data Science & Product Analytics
"For every feature we launch, Statsig saves us about 3-5 days of extra work."
Rafael Blay
Data Scientist
"I appreciate how easy it is to set up experiments and have all our business metrics in one place."
Paulo Mann
Senior Product Manager
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