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Analyze Product Metrics by Experiment Group in Metrics Explorer
One of the most valuable aspects of any analytics product is illuminating how your product is performing for different groups. This is useful for general product understanding (is some key product metric over-performing for one group of users vs another?), debugging (is some key perf metric spiking for a specific group), and detailed segment analysis (what’s going on for a specific product feature for macOS 14.1.0 users in Seattle?). Doing these type of analyses for users in different experiment groups hasn’t really been possible until now.
In our product analytics surface, Metrics Explorer, you can now select any metric and split the metric out by experiment group. This unlocks many powerful scenarios such as getting a general sense of how a metric is performing for different groups in experiment, viewing the long term effect of an experiment on different groups, or monitoring and debugging the performance of different experiment variants.
Try out this feature by navigating to Metrics Explorer and clicking on the “Metrics” tab in the navigation bar on the left. Select the metric you are interested in, add a “Group-By” and select “Experiment Group”. Now choose the experiment of interest and see how the metric performance varies between groups in an experiment. You can do all the analysis you expect from Metrics Explorer like adding property filters, changing views (stacked lines, bar charts, etc), or scoping to a specific event based cohort.
We’ve started rolling out a new health check on experiments (gates coming soon) to help teams more easily catch any SDK configuration issues that may be impacting experiment assignment.
The new “Group Assignment Health” check surfaces if there are a high percentage of checks with assignment reasons like "Uninitialized" or "InvalidBootstrap" which might indicate experiment assignment is not configured correctly. You can view an hourly breakdown of assignment reason via the View Assignment Reasons CTA.
To read more about what each assignment reason means and how to debug, see our docs here.
New Year, New Us
In prep for starting 2024 on the right foot, our team spent the last few weeks of 2023 cleaning up and polishing some of the most loved surfaces of the Statsig Console. We're excited to debut a set of shipped improvements to you today! 🎉
Here's what's changing:
🏠 Home Tab 2.0
We’ve given the Statsig Home Tab a facelift! A few of the changes we’ve implemented:
Added a personalized “to-do” list to the top of your feed, enabling you to easily catch up on all the items that need your attention in the Console
Moved the Velocity charts into a side panel; these are still accessible on-demand when you want to understand how your team’s velocity is tracking, but aren’t as in-your-face every time you log into Statsig
Made metrics tracker more flexible- now pin any tag (not just ⭐Core) that you’re curious about tracking regularly to see those metrics pinned to your sidebar
☰ Left Nav
You may have noticed your Left Nav is looking a little leaner these days- we moved two tabs (Holdouts and Autotune) into Experiments tab, alongside Experiments and Layers. As we continue to build new experimentation types, we will consolidate them here, under the umbrella “Experiments” tab.
⚙️ Project/ Org Settings Unification
We’ve unified the surfaces that your Account Settings, Project Settings, and Organization Settings live into one “Settings” tab, making admin-related tasks easier from one central spot in the Console.
🔎 Filters Refresh
As your team’s library of metrics, experiments, and new feature launches grows on Statsig, being able to organize and easily find the entity you want at any given time is crucial. To make this even easier, we’ve invested in leveling up our filter UX, improving discoverability and usability, as well as exposing operators such as “any of” and “all of” for fields like Tags.
✨ New & Improved Custom Queries
Today, we’re starting to roll out a complete refresh of our Custom Queries feature. Here’s what’s changing:
Performance-Custom Queries are a key part of analyzing your experiment results. We’ve brought down query time from 10-15 minutes to 2-3 minutes, speeding up your iteration cycle times and ensuring you can get to the answer you’re looking for faster.
Query UX- We’ve completely overhauled the Custom Query UX to feel closer to our MEX query UX, so this should feel like a familiar interface to navigate!
Filter/ Group by Event Dimensions- In addition to filtering/ grouping by User Dimensions, we’ve added the ability to filter/ group by Event Dimensions.
Improved Detail View- Now, you can see the details of your Custom Query Pulse results via a hovercard similar to what you see in the Scorecard, with raw stats, time-series (coming soon), and topline projected impact.
Some aspects of Custom Queries are remaining the same, such as the ability to save, name, and share your historical queries, as well as the ability to schedule a Custom Query to run daily in the “Scheduled” tab.
Read more about the new Custom Queries product here, and let us know if you have any feedback!
Enhanced Formulas in Metrics Explorer
We are happy to announce that you can now do math with your metrics! Metrics Explorer now features new formula capabilities, empowering you to delve deeper into your data with ease.
With this new functionality, you can instantly create and visualize dynamic combinations and transformations of one or more metrics. Whether you're calculating event frequency per user, exploring the relationship between different metrics, or requiring a logarithmic perspective of your data, these insights are now just a few clicks away.
Our enhanced formulas include basic mathematical operations, logarithmic functions, square roots, and more (see our full range here). Moreover, you can now effortlessly add trendlines to your analysis, and any metric in your query can seamlessly integrate as a variable in your formula.
Ready to transform your data analysis? Simply hover over the “+” sign in the Metrics Explorer to start adding and experimenting with formulas.
📣 Interactive Experiment Summaries
We’re thrilled to announce the launch of a new, interactive “Summary” tab for Experiments. With Experiment Summary, you can collect all implementation details and the final metric lift results in one place, note down team discussion and action items, and create an enduring artifact of all the learnings your team is taking away from your recently-run Experiment.
You can add to a draft state of your Experiment Summary at any point during the Experiment and then once a decision has been made, the Experiment Summary will become the default tab. You can also export your Experiment Summary to a PDF to share with the broader team.
🧮 Improved Power Analysis Calculator
Today, we’re starting to roll out a set of improvements to the Power Analysis Calculator. Here's what's changing:
Improved UX:
The new Power Analysis Calculator is a full-blown hub for creating, storing, and looking up previous power analysis calculations.
Qualifying event audience generation:
Now you can use an event as a qualifying threshold to define the audience you would like to run a power analysis on. For example, if you’re an ecommerce company and would like to run a checkout experiment you could use a “tap_checkout" event to define the audience you want to calculate power for your experiment on.
Past analyses:
We’ve introduced a new tab “Past Analyses” into the Power Analysis Calculator, where all previous calculations will live. You can rename these analyses for easy lookup/ collaboration, and view the results inline (as well as play with parameters like MDE and target allocation inline without submitting a new calculation). Each past analysis has a Share Link for easy sharing with your team!
📊 Improving Charts in Dashboards
Today we’re rolling out changes that will make it easier to discover and consume product insights from Dashboards. Now you can take advantage of all the power of our main analytics feature, Metrics Explorer, in Dashboards as well.
💾 Save Metrics Explorer Chart to a Dashboard
Sometimes, after drilling into your metrics in Metrics Explorer you may want to save and share the results of those enlightening moments, and consolidate them in one view. Now, you have the ability to save charts from Metrics Explorer onto an existing or new dashboard. From any chart in Metrics Explorer, click the “…” and select the option to Export to Dashboard.
💡 Explore Metrics from a Dashboard
Insight, curiosity, and inspiration don't stop once a Dashboard has been created. Starting today, you can continue analyzing the data from any of your newly saved charts, straight from a Dashboard. Charts saved to dashboard from Metrics Explorer offer the same power and flexibility as the ones in Metrics Explorer. You can modify queries to examine things from a different perspective and, if desired, update the existing chart or create a new one.
↗️ Experiment Summary PDF
Today, we’re excited to start rolling out an easy way to export a shareable summary of your experiment via PDF.
To export a PDF of your experiment summary, go to the Pulse tab in your finished experiment, tap Export, and select Experiment Summary PDF. Your PDF summary will contain-
Key Setup Information, such as hypothesis, actual vs. target duration, primary/ secondary metrics, experiment variants (w/ group descriptions and images), etc.
Results Overview, such as a snapshot of your experiment’s Pulse results, experiment settings (CUPED enabled, etc.), and granular metric-by-metric raw stats
In the future, we’ll also be adding a surface for experiment decision-makers to add more free-form recap text, to provide future viewers of this experiment with additional helpful context.
Stay tuned for continued updates on this surface! And in the meantime, let us know if you have any feedback or feature requests.
New Experiment Scorecard (Pulse) Views
We’re starting to roll out a new way to visualize your Pulse metric lifts inline within your Scorecard.
You can now select whether you want to visualize your Pulse results in “Cumulative” view (default), “Daily” view, or “Days Since Exposure” view. You can easily toggle between views via a new toggle inline within your Pulse view controls.
Check it out and let us know what you think, or read more deeply about Pulse in our docs here.
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