Product Updates

We help you ship faster. And we walk the walk
Akin Olugbade
Product Manager, Statsig
8/26/2024
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đź“… Expanded Chart Granularities and MAU support

We’ve expanded Metric Drilldown to provide you with more detailed options for analyzing user engagement. Now, you can easily explore how user behavior changes over daily, weekly, and monthly time frames, helping you uncover deeper insights.

Expanded Chart Granularities

To give you a more comprehensive view of your metrics, we’ve added support for Monthly Active Users (MAU) alongside the existing Daily Active Users (DAU) and Weekly Active Users (WAU). This expansion allows you to track user engagement over various time frames, making it easier to identify long-term trends or seasonal patterns.

Improved UX for Granularity Selection

We’ve also refined the UX for selecting DAU, WAU, and MAU, making it more intuitive and efficient to switch between these views. Whether you’re analyzing short-term spikes or long-term user behavior, the updated interface simplifies the process of drilling down into the details that matter most.

Weekly and Monthly Granularities in Drilldown Charts

To offer even more flexibility, we’ve introduced support for weekly and monthly granularities in metric drilldown charts. This allows you to view and compare metrics over extended periods, helping you to detect broader trends and patterns that might not be visible with daily data alone.

MAU
Akin Olugbade
Product Manager, Statsig
8/26/2024
Permalink ›

Retention++

We’ve introduced key enhancements to Retention charts, designed to give you more actionable insights into user behavior and long-term engagement.

Flexible Retention Definitions

Accurately tracking user retention is crucial for understanding how your product is performing over time. With our new “Return On” and “Return On or After” retention definitions, you can now better align your analysis with specific business goals. For instance, use “Return On” to measure how many users come back on a precise day, or “Return On or After” to understand longer-term retention trends.

Daily, Weekly, Monthly Retention

User engagement varies depending on the nature of your product and user behavior. That’s why we now offer the ability to analyze retention on a daily, weekly, or monthly basis. Whether you need to track daily active users for a fast-paced app or monitor longer-term engagement for a subscription service, these options let you choose the most relevant time frame for your analysis.

Retention Over Time

Retention isn’t static; it evolves as your product and user base grow. With our new Retention Over Time feature, you can visualize how retention rates shift over weeks or months, helping you spot trends, seasonality, or the impact of product changes. This enables you to make data-driven decisions, whether you’re aiming to boost user retention, identify periods of churn, or validate the success of a new feature.

retention august 24
Akin Olugbade
Product Manager, Statsig
8/26/2024
Permalink ›

Statsig <3 Funnels

We really really like funnels. We think they’re great. Then we thought, what if we made them even better? So we did! Our funnels now offer richer insights, more configuration options, and are easier to understand at a glance.

Table Overhaul

We’ve overhauled the table in the main Conversion view for funnels. It now presents a detailed tabular view of the key metrics at each step of your funnel. This table is also configurable, allowing you to choose between a high-level summary or more detailed insights. You can now see exactly what’s happening at each step, with metrics like conversion rates, drop-offs, total conversions, and more, all in one place.

Conversion Rate vs. Overall Conversions

You now have flexibility in how you view your funnels. By default, the y-axis displays the conversion rate for each step. We’ve added a toggle to switch the y-axis to show the total number of conversions. The conversion rate view is ideal for comparing how different groups perform in terms of conversion rates, while the total conversions view helps you understand the overall number of users progressing through your funnel.

Information Richness

Funnels now include even more insights at a glance. Under each step, you’ll find summaries of the conversion rate, drop-off rate, total number of conversions, number of drop-offs, and median time to convert.

Rename Funnel Steps

You can now rename steps in your funnel, making them more legible or descriptive when the event names aren’t clear.

Funnels August
Akin Olugbade
Product Manager, Statsig
8/26/2024
Permalink ›

User Journeys Overhaul

We’ve completely revamped the User Journeys experience, delivering a modern and intuitive interface that makes it easier than ever to explore and understand user behavior.

Modernized UX

The User Journeys interface has undergone a significant glow up. We’ve introduced a cleaner, more contemporary look and feel, making it easier to navigate and interact with the data. The new design not only improves usability but also enhances your overall analysis experience, allowing you to focus more on insights and less on the interface itself.

Where'd they go AND how'd they get there?

Understanding how users interact with your product is critical. Now, with support for journeys ending with an event, you can choose to analyze the paths users take from a specific starting point or the routes they follow to reach a particular destination. This flexibility allows you to pinpoint critical moments in the user experience, whether you’re interested in the lead-up to a key conversion event or the aftermath of an initial user action.

Sticky Hidden Events

To streamline your analysis, we’ve introduced sticky hidden events. When you hide an event to reduce noise in your journey visualizations, this preference is now preserved across your explorations. No more repeatedly decluttering your data—focus on the paths that matter without unnecessary distractions.

User Journeys++
Akin Olugbade
Product Manager, Statsig
8/26/2024
Permalink ›

📧 Dashboard PDF Export

We’ve added a new feature that lets you download your entire dashboard as a PDF, making it easier to share your insights with others. Whether you’re preparing for a meeting, sharing results with your team, or simply saving a snapshot of your data, this feature provides a convenient way to package and distribute your dashboard.

With just a few clicks, you can export your dashboard, preserving all charts, metrics, and visualizations in a format that’s easy to share and view across different devices. This feature ensures that everyone stays aligned and informed, even when working offline or outside of the platform.

To download your dashboards, click the "..." button in the top right corner ever you dashboard and select "Export as PDF".

Akin Olugbade
Product Manager, Statsig
8/22/2024
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đź•’ Session Analytics - Private Beta

We’re excited to introduce the beta version of Session Analytics, available to a select group of customers, including you. This feature allows you to leverage a special “statsig::session_end” event within Metric Drilldown charts to analyze user sessions in your product.

A session is defined as a period of user activity followed by at least 30 minutes of inactivity. Each session_end event includes a property that records the session duration in seconds. With this data, you can answer key questions such as:

  • How many daily sessions are occurring?

  • What is the median (p50) session duration?

  • How does session duration vary across different browsers?

As this is a private beta release, some functionality is still under development, but we’re eager to hear your early feedback. Your insights will help us refine and improve the feature. If you would like to be added, reach out on our Slack.

Vineeth Madhusudanan
Product Manager, Statsig
8/13/2024
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Announcing Warehouse Native Product Analytics

We're excited to start rolling out our Product Analytics suite to Statsig Warehouse Native.

You can see the exact step in a 5-step checkout workflow where half of your users are dropping off. You can filter and slice metrics down by any property, instantly. Your Growth teams can spelunk in data and generate hypotheses to try.

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All of this - with centralized data governance in your warehouse - a single source of truth, with do data duplication or drift.

This plays well with experimentation - letting you group events or a metric by experiment groups, or even look at a few sample rows of data when investigating an issue.

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Metrics Explorer is in broad beta on Statsig WHN and is free for the rest of the 2024. It has been Generally Available on Statsig Cloud since March this year.

Shubham Singhal
Product Manager, Statsig
8/13/2024
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Custom Experiment Checklist

We're thrilled to announce the launch of Custom Experiment Checklist, a new feature that empowers admins to tailor the experimentation guidelines to their company's specific needs. This feature allows you to replace the default Statsig experiment checklist with your own custom checklist that follows internal best experimentation practices.

Benefits:

  • Ensure adherence to company-specific best practices

  • Foster a unified experimentation culture across your organization

  • Increase the quality and consistency of experiments

Why we built this:

Over the past few months, our customers expressed a desire for more flexibility in configuring experiment guidelines within Statsig. We listened, and Custom Experiment Checklist is our response to this valuable feedback. Custom Experiment Checklist is now available for all users. To get started, navigate to your Organizational settings and look for the new "Experiment Checklist" option.

We're excited to see how this feature will enhance your experimentation process. As always, we welcome your feedback and suggestions for further improvements.

Tore Hanssen
Software Engineer, Statsig

Parameter Stores: Decouple your mobile app from Statsig configuration

Parameter Stores allow you to think in terms of parameters - things in your app that you want to be configurable remotely. Parameters decouple your code from the configuration in the Statsig Console. It is a level of indirection that allows you to run any set of experiments, or change gating or values on the fly, all without hardcoding an experiment name in your app. Each of these parameters that you define and check can be remapped at will between Statsig entities. Create a boolean parameter to enable a feature, turn it into a Feature Gate for internal testing, then run an Experiment when your app is released, and then turn it back into a Feature Gate that ships the winning variant to the right audience - all without a code change, or a new mobile app release.

Vineeth Madhusudanan
Product Manager, Statsig

Bot Filtering

Statsig will begin filtering out known bot traffic from all exposures data in the Statsig console. These web-crawling bots can sometimes inflate exposure counts but don’t represent the users you’re most often trying to measure. This should improve the accuracy of your experiments, feature gate analytics, and user tracking. Several Statsig customers have requested this feature and we’re excited it’s finally coming.

For more information about this feature, you can check out our updated exposures docs page. Bot filtering will be turned on by default for all Statsig projects, but we’re also building an opt-out setting, which will be available in console.

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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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