Product Updates

📊 Expanded Dashboard API and MCP Support

You can now create, edit, and analyze more dashboard charts through the Console API and the Statsig MCP.

What you can do now

• Work with line, bar, pie, table, number, and geo-map charts alongside funnels

• Use catalog metrics like WAU and formulas in your charts

• Edit individual widgets without touching the rest of the dashboard

• Rely on safeguards against accidental deletion and conflicting updates

Why this matters

Dashboards can now be built and maintained programmatically beyond funnels, so your scripts and agents can cover the charts your team actually uses, with protections against overwriting each other’s changes.

Try it out

If you have the Statsig MCP set up, try a prompt like:

“Using the Statsig MCP, create a dashboard with a line chart of WAU.”

Learn more in the Dashboard API docs.

🔑 Enterprise-Managed Authorization for the Statsig MCP

Admins can now connect Claude to Statsig once for the whole organization.

What you can do now

• Let members use Statsig in Claude without individual OAuth prompts or personal API keys

• Keep access tied to each member’s existing Statsig permissions, with admin controls for read-only or read and write access

• Choose between Claude-issued identity and Okta / OIDC Cross App Access

• Set it up in any Statsig organization. An organization admin configures and enables it

Why this matters

Rolling out the MCP across a company shouldn’t mean every person authorizing separately or managing a personal key. Now one admin setup covers the organization, and permissions still follow each member.

Try it out

Follow the Enterprise-managed authorization setup guide.

🔭 Pipeline Activity and Schedule Editing

Teams using Statsig Warehouse-Native can now see what is running in their warehouse and adjust schedules in one click.

What you can do now

• Use the new Pipeline Activity page to see the jobs that have run in your warehouse and how long they ran

• Open the details behind any job in one click, including the DAG and the SQL that will run

• See every experiment and gate schedule on the data connection reload settings page, and edit any of them in one click

Why this matters

Two questions come up constantly, “What’s running in my warehouse?” and “Why is this experiment taking so long to refresh?” Now you can answer both yourself and tune schedules to reduce warehouse load.

Try it out

Open Data → Pipeline Activity in the Statsig Console. To edit schedules, open your data connection’s reload settings.

Learn more in the Pipeline Activity docs.

🗂️ Fewer Tables for Pre-Computed User Dimensions

Statsig Warehouse Native can creates far fewer tables for pre-computed user dimensions, with the same results.

What you can do now

• Get 60 to 80% fewer PCUD-related tables for a standard 4-dimension setup, with larger savings as you add dimensions

• Keep healthy dimensions computing when the source for one dimension is missing

• Spend less on table creation and S3 / catalog management on Athena

Why this matters

Separate pipelines for each dimension meant table counts grew quickly. Now one combined path keeps your warehouse cleaner, and one failing dimension no longer blocks the rest.

Try it out

Learn more in the Slicing by User Properties docs.

⏱️ Schedule Experiment Stop

You can now schedule when a Cloud or Warehouse Native assign-and-analyze experiment stops.

What you can do now

• Choose Stop New Assignments or Conclude & Defer Decision. At the scheduled time, Console runs the same action as clicking it by hand

• Set a date and time up to a year out

• Edit or cancel from the experiment header

• Save a scheduled start and stop together as one request

Why this matters

Stopping an experiment at a specific moment used to mean someone had to be at the keyboard. Now you can set it and leave it.

Try it out

To request early access, contact your Statsig account team.

📝 AI-Powered Experiment Reports

A new Report tab turns experiment results into a shareable readout.

What you can do now

• Generate an experiment report with AI analysis and key metric cards

• Edit and reorder sections, and add your own context

• Export the report as a PDF

Why this matters

Teams spend real time assembling numbers and writing the narrative after an experiment ends. Now you start from a generated draft and edit it.

Try it out

To request early access, contact your Statsig account team.

🧮 Power Analysis Calculator V2

Planning an experiment is now one connected workflow in Cloud and Warehouse Native.

What you can do now

• Configure a population and metrics, run an analysis, and compare MDE, duration, and allocation tradeoffs

• Review results in a Scenario Matrix, Week-by-Week view, and Advanced Statistics

• Save settings, rerun or duplicate an analysis, and attach it to an experiment

• Find past analyses on their own report pages, restore reports, and get completion notifications

Why this matters

Estimated duration is now the direct answer, so PMs and non-data-scientists can complete the calculator and trust what it tells them.

Try it out

Go to Console → Experimentation → Power Analysis.

🎛️ Filter Dashboards by Experiment Status

Dashboards can now focus on the experiments that are running right now.

What you can do now

• Choose Add Filter → Experiment Status on any dashboard, including dashboards generated automatically from tags

• Share the filtered view by URL, or save your selection as the dashboard’s default filter

• Experiment widgets that don’t match the filter are dimmed in place, so your layout stays intact

Why this matters

Experiment overview dashboards get cluttered as tests start and finish. Now you can keep the view focused on running experiments without removing widgets by hand.

Try it out

Open any dashboard, choose Add Filter, and select Experiment Status.

👀 Preview Changes Before Requesting a Review

You can now verify a proposed gate or dynamic config change inside the review modal before you submit it for approval.

What you can do now

• Toggle a preview with Visual and Diff views, and filter between Changes and All Rules

• See compact comparisons that highlight the changed fields when requesting a review for rule changes

• Find reviewers faster with a searchable selector for Teams and Individuals, with checkboxes and removable pills

• Get a prompt in the review flow to turn on Slack notifications for reviews

Why this matters

Reviewers can only approve what they can clearly see. Now you can check exactly what you are proposing before you send it, which means fewer review rounds spent on mistakes you could have caught yourself.

Try it out

Request a review on a gate or dynamic config rule change and open the preview in the review modal.

🩺 Warehouse Export Observability

You can now see when a warehouse export fails and why, without guessing or contacting support.

What you can do now

• Get a failure notification email when an export fails

• See the error message in the UI so you understand why an export failed

• Query export success and failure status programmatically with the new list-warehouse-export-status endpoint

• Ask the Statsig MCP to help you understand an export failure

Why this matters

A failed export used to be easy to miss and hard to diagnose. Now you hear about failures right away and can see the cause, in the UI, over the API, or through your AI tooling.

Try it out

Learn more in the Warehouse Exports docs and the export status API reference.