Product Updates

🍋 Metric Source Freshness

Statsig WHN users can now quickly check the freshness of their Experiment Metrics Source data directly from the experiment results page. The data displays the most recent timestamp found in a Metric Source during results computation, helping users identify potential issues in their data pipeline that could delay results calculation.

🧾 Experiment Results Table View

Today we're excited to announce Table View for experiment results. It's perfect for users who want to examine their experiment results in greater detail while keeping everything consolidated in a single view.

With Table View, users can now see Control Mean, Test Mean, and P-value—in addition to the data points available in the default cumulative view.

🏡 Metric Family

Managing a large metric catalog can be challenging—especially when many metrics are slight variants of a single source metric. Ensuring that updates to the main metric cascade correctly to all of its variants can be difficult and error-prone.

For our WHN customers, we’re excited to introduce Metric Families. Users can now create Child Metrics (variants) from a Parent Metric, ensuring that any changes to the Parent automatically flow down to its Children. This makes it easier to manage large catalogs while giving teams the flexibility to create and maintain metric variants without losing consistency.

The feature is available for Sum and Count metric types. Follow this link to learn more.

📚 Bulk Topline Impact Calculation

Many users want to understand how the metric changes measured in their experiment translate to shifts in the overall metric (topline impact) or project the expected impact if the variant were rolled out to the broader population (projected topline impact).

For our WHN customers, calculating Topline impact just got easier with the launch of our bulk upload feature. Users can now update this data centrally from the Experiment Insights Page, making it easier than ever to measure the aggregate impact of experiments on key business metrics.

🧅 Layers UI Improvements

Layers is a powerful Statsig tool that lets you configure mutual exclusivity and manage parameters across experiments and holdouts—all while simplifying your code. (learn more here).

With the new UI improvements, managing your mutually exclusive experiments and holdouts just got even easier. You can now see at a glance which experiments and holdouts map to the different parameters configured on the layer.

🪵 Console Logs in Session Replay + Activity Pane Revamp

Session Replay now includes a Console Logs view, detailed inspectors for any logged event, and a new Overview section.

What You Can Do Now

• View browser console logs captured during a replay, including info, warnings, and errors.

• Inspect any individual console log to see full details for that entry.

• Inspect any logged event from the Activity pane to see a detailed breakdown of that event instance.

• Use the new Overview section to see key user and session metadata for the recording.

How It Works

• Console Logs. Setup console logs capture as part of Auto-capture through that Statsig SDK. Once that is set up, you can open a replay, expand the Activity pane, and select Console Logs. Click the inspection icon next to a specific log to view its details.

• Event Details. In the Activity pane, click on "Events" and then click the inspection icon next to any event to see its properties and context for that exact instance.

• Overview. Open the Overview section in the Activity pane to see recording-level details about the user and associated session metadata.

Impact on Your Analysis

• Faster debugging with console context aligned to moments in the replay.

• Clear visibility into what the browser reported at the same time a user took an action.

• Quicker triage by drilling into the exact event or log entry without leaving the replay.

Available Today

Open any session replay to try Console Logs, the event inspectors, and the new Overview section in the Activity pane.

🧮 Sum Property Values at Funnel Conversion

You can now sum a numeric event property for the final step of a funnel to quantify value generated by conversions.

What You Can Do Now

• Attribute revenue to a funnel by summing a property like order_value on the conversion step.

• Measure other totals such as items_count, credits_used, or time_spent for converted units.

• View the total directly in the funnel table as a new column on the final step.

How It Works

• In your funnel’s Advanced settings, select Sum property value for last step.

• Choose the numeric property from the conversion event to sum.

• The funnel table adds a column on the final step showing the total for units that converted.

• The sum reflects the same cohort and filters used by the funnel.

• For totals across all conversion events, turn Unique Users off. With Unique Users on, each user contributes at most one conversion to the sum.

Impact on Your Analysis

• Connect conversion to value by quantifying totals like revenue for the users who completed the funnel.

• Compare totals across segments using your existing breakdowns to see where value concentrates.

• Track changes to total value when you adjust steps, filters, or time ranges.

Available today on cloud. Coming next month for Warehouse Native.

💪 Power Analysis Enhancements

We’ve rolled out several updates to make Statsig’s Power Analysis Calculator more powerful and easier to use when planning experiments.

You can now:

• Review multiple metrics side-by-side to see how power and duration vary across key metrics in one view.

• Set a target MDE across your metrics to clearly see the optimal experiment duration across your metrics.

• Share results with saved configurations, so your team sees the same inputs and assumptions when reviewing analysis.

For Statsig Cloud users, Power Analysis now supports multiple qualifying events and event parameter filters, allowing more precise reflection of your experiment setup and traffic definitions.

With these updates, users can plan well-powered experiments and better align on timelines with your.

⏰ Schedule Experiment Start

You no longer need to manually start your experiments. This is especially helpful when coordinating launches with other activities, like email campaigns, or when organizing experiment start times across your organization.

You can find this feature today in the "Start Experiment" dialogue.

🔎 Warehouse Events

All events across your multi-event metric sources can now be found in one place. No more digging through different metric sources to find the event you want. Just search for the event and use it.

What You Can Do Now

• Search across all events from multi-event metric sources in a single view.

• Add events to your metrics without opening individual metric sources.

• Search by event name or by metric source name to keep related events together.

How It Works

• This unified view includes events only from metric sources that are explicitly configured as multi-event.

• A multi-event metric source contains multiple event types, for example page_view and checkout. It is not a single computed metric, and it is not a single-event source.

• To make a source multi-event, go to the metric source page and set Configure for Metrics Explorer to Multi-event.

• The unified view supports search by event name and by metric source name.

• This view is optional and does not replace existing create or edit flows. If you prefer working from Metric Sources, those flows are unchanged.

Impact on Your Analysis

• Faster event discovery when you do not remember which source an event belongs to.

• Less context switching while building metrics in Metrics Explorer.

• Better visibility across similar events from different sources in large warehouses.

Warehouse Native users can use the unified event view to quickly find, add, and work with events across your multi-event metric sources.