Product Updates

Want to see your metrics, releases, and logs in a single platform?

Log Explorer lets you diagnose issues quickly alongside your Statsig data. No more juggling tools or context switching.

Metrics point you to a change. Logs reveal the root cause.

Open any log entry to get started. Our point-and-click UI makes it easy for anyone to zero in on things like timestamp, service name, or metadata value. When you need more control, write queries from scratch using our flexible search.

Built-in OpenTelemetry support gets you up and running with minimal effort. No extra instrumentation required.

Try Log Explorer today!

📊 Fieller Interval

You can now opt in to using Fieller Intervals when calculating % lift confidence intervals. This is a more accurate alternative to the Delta Method when calculating % lift confidence intervals.

Because Fieller Intervals are asymmetric, the scorecard display will look slightly different when this option is enabled:

You can set this up in your Experimentation Settings at the Organization Level.

Historical and ongoing experiments will not have their methodology changed midway through if you opt in, only newly created experiments after opt in are impacted.

Learn more about Fieller Intervals here!

📊 Data Table Views in Metric Drilldown

The new Table View makes it easier to compare how different groups perform across multiple metrics and time periods, all in a single table. Each metric becomes a column, and each group (based on your group-by selection) becomes a row. No need to flip between charts or tabs.

What You Can Do Now:

• Compare multiple metrics side by side across user or event groups

• View how the same group performs across different time periods

• Add group-bys to see per-group metric values in one view

How It Works:

• Select metrics to display as columns

• Add a group-by to generate one row per group value

• Toggle time comparisons to populate the table with values from both current and past periods

Impact on Your Analysis:

• Quickly spot which segments are over- or under-performing across several metrics

• Easily assess how group performance changes over time

• Simplifies complex comparisons that previously required multiple charts

Use Data Table View when you want a clear, compact summary of group-level performance across metrics and time.

Introducing the Pulumi Statsig Provider

Manage your Statsig configurations in the same programs that provision your cloud infrastructure.

With the Pulumi Statsig Provider, everything ships through a single version-controlled, reviewable workflow. This unifies progressive delivery with infrastructure as code. You get safer rollouts, automated drift detection, and built-in observability across infrastructure and product logic.

Visit our docs to get started. Or check us out in the Pulumi docs.

Statsig MCP Server

Statsig now hosts an MCP (Model Context Protocol) Server. This acts as a bridge between AI applications (clients) and Statsig: it is essentially a smart adapter that translates AI requests into commands that Statsig can understand.

For example - you can connect this in Cursor and request it in English to :

• Make changes to your app to put features behind gates in Statsig

• Instrument your app to log user interaction events - which can then be analyzed in Statsig

• Perform operations like removing unused gates from your codebase - with Cursor directly pulling context from your Statsig project

You can connect it with Claude, and then ask questions based on data from Statsig:

• Which experiments have been abandoned?

• What are some suggestions for new growth experiments I can run?

Learn more here.

📸 Results Snapshot

WHN customers can now view historical scorecard results for their experiments. The system captures a Scorecard Snapshot each time results are calculated through a full or incremental reload.

How It Works

Open the reload history dialog box in the Results tab for your experiment.

Find the data load instance you want to view and select "View Results Snapshot."

🪨 Geotest Experiments

Geotest Experiments are now available to all our Warehouse Native customers, unlocking experimentation when traditional A/B testing doesn’t work. Commonly in marketing campaigns users cannot be reliably split into control and treatment.

With Statsig’s Geotesting, you can measure marketing incrementally in the core business metrics already in your warehouse. Using best-in-industry Synthetic Control methodology, Statsig makes it easy for every team to design and run statistically-rigorous tests using simple geographical controls like postal codes and DMAs.

Visit our docs to learn more and get started!

Braze Integration

With Statsig’s Braze integration, running experiments across your multi-channel campaign or orchestrating your user journey just got easier!

Customers can now send exposure events from Statsig to Braze that can then be used to assign users into Segments in Braze. This enables you to trigger custom content through feature flags or run different campaigns based on whether users are in treatment or control groups.

Learn more here to get started!

🧮 Unique Values Aggregation

Count distinct values for any property across events or users, no longer limited to IDs.

What You Can Do Now

• Select Unique Values as the aggregation type in Metric Drilldown.

• Answer questions like “How many different referrers drove traffic last week?” or “How many SKUs were added to carts today?”

• Combine with filters and group-bys to surface granular uniqueness counts in one step.

How It Works

1. Pick your metric or event.

2. In the aggregation dropdown, choose Unique Values.

3. Select the property whose distinct values you want counted (e.g., referrer, sku, country).

4. The chart returns the count of unique values for that property over the chosen time range and granularity.

Impact on Your Analysis

• Broader coverage: Distinct-value analysis now works on any property, not just user_id, stable_id, or company_id.

• Faster answers: Skip custom SQL or exports when you need unique counts on the fly.

Try the Unique Values option to see diversity in your data at a glance.

📈 Delta Comparison View for Time Series

Delta Comparison condenses two overlaid series into a single line that plots the percent change between your current and comparison periods at each timestamp, letting you see differences at a glance.

What You Can Do Now

• In Metric Drilldown, toggle Percent Difference to turn any chart in Comparison mode into a single line showing the percent change at each timestamp.

• Scan spikes or dips instantly instead of comparing two stacked series.

• Export or share the delta series just like any other chart.

How It Works

1. In Metric Drilldown when in a time series view, choose Compare and select a comparison range.

2. Select the "%" option at the top of the chart to switch to Percent Difference mode.

3. The chart redraws as one series where delta_percent = (current - comparison) / comparison * 100

4. Switch back anytime to the traditional overlaid view.

Impact on Your Analysis

• Faster insights: One clear line highlights variance without visual clutter.

• Sharpened focus: Positive vs. negative swings stand out immediately, making root-cause checks quicker.

• Tighter reports: A single series is easier to share in dashboards and slide decks.

Try the Delta Comparison toggle on your next period-over-period chart and see the difference.