Product Updates

We ship fast to help you ship faster
12/13/2022
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✅ Daily Ingestion Status (on the homepage)

Now you can check the status of your imports (succeeded, errored, loaded with no data, in progress, etc.) first thing when you log in to Statsig! With the status right on the homepage, you can now see any delays upfront and diagnose issues as early as possible.

Data Ingestion V0 – Figma
12/9/2022
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Monitoring Metrics & Explore in Feature Gates, Multiple Metric Dimensions, and Improved Review UX!

Happy Friday, Statsig Community! We have a fun set of launch announcements for y'all this week.... making every last day count as we come up on the last few weeks of 2022!

Monitoring Metrics & Explore in Feature Gates

Today, we’re excited to add an explicit section into Feature Gates for Monitoring Metrics. This will enable gate creators to call out any metrics they want to monitor as part of a feature rollout, and make it easier for non-creators to know what launch impact to look for.

Note that by default the Core tag will be auto-added to Monitoring Metrics for all new gate creations.

Statsig Monitoring Metrics

Up to 4 Multiple Metric Dimensions

Historically, we’ve supported sending in a Value and JSON metadata with every logged event, enabling you to break out Pulse results by a metric's Value inline within Pulse.

Today, we’re expanding the number of dimensions you can configure for an event, supporting up to 4 custom dimensions that you can define and send in with events to split your analysis by. To configure custom dimensions for your event, go to the Metrics tab → Events, select the event you want to configure and tap "Setup." Note that you cannot yet configure multiple dimensions for Custom Metrics.

Statsig Multiple Metric Dimensions

Improved Review UX

Reviewing gate and experiment changes is a core part of the rollout process. Today, we’re making reviews even easier by providing a clearer Before/ After experience to more easily view changes, as well as introducing a new review mode called “Diff View”.

To view changes in Diff View, simply toggle the mode selector in the upper right-hand corner of the review unit from “Visual View” to “Diff View”. Voila!

Statsig Diff View for Reviews
11/1/2022
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New Slack Integration

Hey everyone, we’ve just released a new integration for receiving console notifications on Slack.

This is different from the current Slack integration which just sends audit logs.

To enable, go to “Account Settings” -> “Notifications” tab.

For more information about the app, see https://statsigcommunity.slack.com/apps/A022AA315JN-statsig.

(FYI we are working to get the app approved on Slack’s app store, but this may take some time)

10/31/2022
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v1 Dashboards, Discussion Tags, and Advanced Search (Halloween Edition 🎃)

Happy Monday (and Happy Halloween) Statsig Community! We've got some tricks AND some treats up our sleeve for you today, with an exciting set of new product updates-

v1 Dashboards

You may have noticed a new “Dashboards” tab in the left-hand nav of your Console! Last week, we quietly started rolling out the v1 of our new Dashboards product. Dashboards give you a flexible canvas to build dashboards for the metrics, experiments, and rollouts your team cares most about.

Dashboards v1

With Dashboards, you can-

  • Create Custom Time Series - Create line or bar charts of your metrics, including dimension breakdowns for events.

  • Add Experiment and Rollout Monitoring - Add any Experiments or feature roll-outs that may impact your metrics inline on your Dashboard.

  • Organize and Label Widgets - Quickly and easily organize your widgets on the drag-and-drop canvas of the Dashboard. Add labels to clearly delineate grouped metrics, as well as caption individual charts to clarify metric definitions.

This is an early v1 foundation for our newest product offering, and something that will continue to evolve. If you have any feedback, we would love to hear it! Don’t hesitate to reach out with feature requests or suggestions for improvements.

Discussion Tags

To make adding relevant folks into the conversation on your Experiments and Gates easier, we’ve added the ability to tag team members in Discussions. Tagging team members in a Discussion comment will notify them via email (and soon Slack as well!)

Discussion Tagging

Advanced Search Capabilities

Powerful search capabilities are key to being able to quickly navigate the Statsig Console. Today, we’re excited to announce that we’ve added keyword search for “started”, “ended”, and “active” search keywords, with support for either one date or a date range.

Advanced Searches

Attached is a table of how to use these. We've also added explicit filter options next to the search bar that will enable you to filter by Status, Health Check Status, ID Type, Creator, & Tag (all of which are also supported directly inline in Search).

Advanced Search Cheat Sheet
10/21/2022
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Deeper Amplitude Integration

New Integration: Incoming Events From Amplitude

Hey all, just wanted to announce that we have completed work on the Amplitude incoming integration. This will allow you to configure Amplitude to forward events to Statsig.

Statsig Docs: https://docs.statsig.com/integrations/data-connectors/amplitude

Amplitude Docs: https://www.docs.developers.amplitude.com/data/destinations/statsig/

10/4/2022
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New Sequential Testing Capabilities

Sequential Testing

Today, we’re continuing to invest in our Stats Engine with the addition of Sequential Testing capabilities. In Sequential Testing, the p-values for each preliminary analysis window are adjusted to compensate for the increased false positive rate associated with peeking. The goal is to enable early decision-making when there's sufficient evidence, while limiting the risk of false positives.

sequential testing

To enable Sequential Testing on your experiment, we require setting a target duration (which is used to calculate the adjusted p-values). We provide a handy Power Analysis Calculator within Experiment Setup to enable quick and easy estimation of target duration.

sequential testing 2

Once a target duration is set, simply toggle on Sequential Testing to start seeing adjusted confidence intervals overlayed over the default 95% confidence interval within your Pulse results.

image (1)
9/30/2022
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Experiment Setup Configuration UX, Automated A/A Test Reports, and more!

Happy FRIDAY, Statsig Community! We've made it to the end of the week, which means it's time for another set of product launch announcements!

New Experiment Setup Configuration UX

Today, we’re excited to debut a sleek new configuration UX for experiment groups and parameters. Easily see your layer allocation, any targeting gates you’re using, experiment parameters, groups, and group split percentages in one, clear visual breakdown.

We believe this will make setting up experiments more intuitive for members of your team who are newer to Statsig, as well as give experiment creators and viewers alike an intuitive overview of how the experiment is configured.

New Groups Params

Automated A/A Test Reports

It’s oftentimes considered best practice to regularly ensure the health of your stats engine and your metrics by running periodic A/A tests. We’ve made running these A/A tests at scale easy by setting up simulated A/A tests that run every day in the background, for every company on the platform. Starting today, you can download the running history of your simulated A/A test performance via the “Tools” menu in your Statsig Console.

We run 10 tests/ day, and the download will include your last 30 days of test results. Please note that we only started running these simulations ~1 week ago, so a download today will only include ~70 sets of simulation results.

AA Test Entry
9/26/2022
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Broader ID Support in Autotune and Downloadable Events Explorer Results

Happy Friday, Statsig Community! Ending the week on a high note with a few new product launches for y'all- 

Broader ID Support in Autotune

This past week we added support for Stable & Custom IDs into Autotune, broadening the scope of use-cases you can run an Autotune experiment on. To learn more about leveraging Autotune, check out our docs here.

New ID Types Autotune

Download Events Explorer Results

We’ve made double-clicking on data generated in Statsig even easier, by enabling you to download your Events Explorer results in CSV format. Please note that this is only available for Table and Sample views.

Downloading Events Explorer Results

P.S.- Keep your eyes peeled for something special in the Statsig Console…   

Good morning, Statsig Community! Fun launch update to start off your Thursday- announcing your new Home Tab! 

Home Tab

Today, we’re starting to roll out a brand new tab in your Statsig Console, the Home Tab. The Home Tab serves as a launchpad into all the most important things happening in your team’s Statsig project.

Key features include-

  • Velocity Charts- helps teams easily track their experimentation and launch velocity

  • Core Metrics- A preview of the metrics with the "Core" tag to will show up on your Home Tab. If you haven’t tagged any metrics with "Core" yet (or you want to change which metrics are marked "Core"), you can manage this tag via the Metrics tab.

  • Quick Links- Shortcut links to Statsig resources, ability to invite new team members to your Project, and one-tap creation of a new Experiment, Feature Gate, etc.

  • Feed- Surfaces recent activity, making keeping tabs on what your team is testing and launching easy

Snowflake, Redshift, BigQuery Data Warehouse Support

We’re thrilled to announce that today we're rolling out native integrations with popular data warehouses (DWs) including Snowflake, Redshift, and BigQuery. Now you can import metrics directly from your existing DW tables and automatically include them in the results of all of your experiments, feature gates, and holdouts.

Ingesting precomputed metrics from DWs was been a common request from customers who have a well-established modern data stack. Our new native DW integrations enable you to immediately start measuring your team’s core metrics and KPIs for every product launch as you scale out product experimentation with Statsig 

You can now simply enter your DW connection string in the Statsig console, map data in your tables to Statsig fields, and start to automatically ingest precomputed metrics into your project to observe metric shifts for every product update.

To get started, navigate to Metrics from the left-hand navigation panel and click on the Ingestion tab to add new metrics. In addition to ingesting metrics daily, you run an initial backfill to bootstrap your Metrics Catalog and validate that the integration is working as expected. To learn more, visit our documentation for Data Warehouse Ingestion 

You can start ingesting precomputed metrics and raw events from Snowflake, Redshift, and BigQuery today, with support for Databricks coming soon. To request access, please hit us up!

Loved by customers at every stage of growth

See what our users have to say about building with Statsig
OpenAI
"Statsig's experimentation capabilities stand apart from other platforms we've evaluated. The ease of use, simplicity of integration help us efficiently get insight from every experiment we run. Statsig's infrastructure and experimentation workflows have also been crucial in helping us scale to hundreds of experiments across hundreds of millions of users."
Paul Ellwood
Head of Data Engineering
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
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
"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
OpenAI
"Statsig has been an amazing collaborator as we've scaled. Our product and engineering team have worked on everything from advanced release management to custom workflows to new experimentation features. The Statsig team is fast and incredibly focused on customer needs - mirroring OpenAI so much that they feel like an extension of our team."
Chris Beaumont
Data Scientist
"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
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 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
"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
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
OpenAI
"Statsig has helped accelerate the speed at which we release new features. It enables us to launch new features quickly & turn every release into an A/B test."
Andy Glover
Engineer
"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
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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