Setting up Layers when creating an experiment is now easier than ever.
See Layers as a top-level Targeting option alongside ID Type and Target Applications.
Pick a layer and have ID Type and Target Applications auto-fill and lock automatically.
Clear the layer to unlock those fields and keep your values.
See Target Applications displayed by name rather than a raw count
Layers keep experiments mutually exclusive, preventing cross-experiment contamination across your project. With Layers now a top-level option in the Create Experiment modal, setting them up correctly takes less effort from the start.
Open the Statsig console and create a new experiment to try it out.
You can now give gates, experiments, and dynamic configs the same display name.
Use duplicate display names across feature gates, experiments, dynamic configs, and their templates.
When a name collision occurs, the ID auto-resolves to the smallest free suffix (checkout_flow becomes checkout_flow_1) and Create stays enabled with an info note instead of a dead-end error.
Edit the auto-generated ID inline by hovering or focusing the row and clicking the pencil icon.
Works across create, clone, and rename flows.
Before this, two entities with the same display name hit "ID already in use" and teams with naturally similar naming conventions had to add arbitrary suffixes just to get past the create step. Now display names can reflect what something actually is, while uniqueness is still enforced on the ID.
Open the Statsig console and create a new gate, experiment, or dynamic config with a name that already exists to see the new flow in action.
Managing targeting rule order is now faster and more intuitive.
Drag any rule by its IF / ELSE IF rail to reorder it inline — no more opening a separate Reorder Rules modal.
Hover on any rule to reveal an "Insert new rule" button and drop a new rule exactly where you want it, instead of adding to the bottom and dragging it up.
Precedence labels update live as you drag so you always know where a rule will land
Rule order matters in targeting. Before this, reordering required a separate modal. Now, you can build and adjust targeting logic directly in the editor without breaking your flow.
Open any feature gate, experiment, or dynamic config in the Statsig console and try dragging or inserting a targeting rule.
You can now remove an individual user from a Feature Gate override without touching the rest of the list.
One new endpoint is available on statsigapi.net/console/v1/:
DELETE /console/v1/gates/{gateName}/overrides/userID/{userID}
Before this, removing a single user override meant fetching the full override list, mutating it locally, and re-posting it, which could be risky when test runs are happening concurrently. Now, you can target and remove exactly one user, leaving every other override untouched.
Review the full API reference in the Statsig Console API docs.
Statsig Topline Alerts can now page PagerDuty directly.
Add PagerDuty services to the Integrations catalog once with a name and Events API v2 routing key.
Select one or more PagerDuty services per alert in the Notifications settings.
Test your wiring end-to-end before you rely on it — test pages are tagged [TEST] and never collide with real incidents.
Deleting a PagerDuty service that an alert still references is blocked, and disabled integrations are clearly flagged.
Topline Alerts catch anomalies in your most critical product metrics, but a notification that in Slack or email isn't always enough when something is on fire. Now, the same alert that fires in Statsig can page your on-call team in PagerDuty, closing the gap between detecting a problem and fixing it quickly.
Go to Integrations in the Statsig console, add your PagerDuty service, then open any Topline Alert and configure PagerDuty under Notifications.
Learn more in the Statsig Topline Alerts docs.
You can now submit Autotune changes for review and manage the full review lifecycle across the console, Console API, and MCP.
Submit Autotune configuration changes for review before they reach production.
Approve, reject, or cancel in-flight Autotune reviews from the console, via CAPI, or through the MCP.
Teams with reviews required can now enforce that same approval workflow on Autotunes, the same way they do for gates and experiments.
Teams running Autotune for high-stakes decisions need the same guardrails they have everywhere else. Any change to a live Autotune can shift traffic allocation immediately, so being able to require an approval before it goes out matters. Reviews are now consistent across gates, experiments, and Autotunes.
If you have the Statsig MCP set up, try a prompt like:
"Using the Statsig MCP, open a review to update the winner threshold on
autotune_nameand submit it for approval."
Learn more in the Statsig Reviews docs.
PATCH /console/v1/holdouts/{id} now resolves public gate IDs for targetingGateID, the same way gateIDs and experimentIDs already do.
Set targetingGateID to a public gate ID — the slug CAPI returns as id on all write paths — without hitting a 500.
Internal IDs still work, so existing GET-edit-PUT round-trips are unchanged.
An unknown gate now returns a clean 400 instead of a 500 null still keeps the existing gate, "" still clears it.
Now, targetingGateID behaves consistently with the rest of the PATCH endpoint.
Review the full API reference in the Statsig Holdouts Console API docs.
Composite metrics now show the full Topline Impact panel in Warehouse Native experiment results.
See absolute and projected launch impact for composite metrics, the same way you can for ratio, funnel, and retention metrics.
Each component's daily value is computed and combined with its operator before rolling up, so the impact calculation reflects the full composite definition.
Topline Impact tells you the real daily effect your experiment is having on a metric across your entire user base. Now, composite metrics are fully supported, so you can make shipping decisions with the same confidence you have on any other metric type.
Open any Warehouse Native experiment result and select a composite metric to see Topline Impact. Learn more in the Statsig Topline Impact docs.
. and -Athena users can now use dots and hyphens in gate and experiment keys without any workarounds.
Use . and - in gate and experiment keys on Athena, the same way BigQuery and Databricks Warehouse Native users already can.
Existing keys without . or - are untouched. No renaming or migration needed.
Teams running Athena had to avoid dots and hyphens in gate and experiment keys entirely. Now, you can use any naming convention on Athena without workarounds or renaming.
No action needed. Start using . and - in your gate and experiment keys on Athena today.
Learn more in the Statsig Warehouse Native docs.
You can now separate the ability to delete configs from the ability to edit them.
Manage Edit, Archive, and Delete as distinct permissions on your Role Permissions page
Previously, delete was bundled into a single "Edit Delete Configs" permission with no way to separate them. Now, you can grant edit access broadly and keep delete access narrow, without having to create workarounds or roles with too many extra permissions.
This is opt-in and not on by default. To enable granular delete permissions for your organization, contact your Statsig account team. Once enabled, the separate Delete permission will appear on your Role Permissions page under Project Settings.
Learn more in the Statsig Access Management docs.