You can now run a warehouse native experiment where audience assignment comes from a table in your own warehouse rather than a LaunchDarkly flag evaluation. If your team randomizes in its own service, or assignment happens in a third-party tool such as an email platform, those tests can now be analyzed in LaunchDarkly with the same statistics, exposures, and sliced results as any other experiment, rather than rebuilt in a notebook or dbt.

It works backwards too: assignment data already sitting in your warehouse can be analyzed retroactively, so you can get a read on a past experiment without waiting out a fresh one. Define an assignment source once and reuse it across experiments in the same project and environment.

See Assignment data sources and Manage assignment data sources in our documentation to get started.