Learn the essentials to kick off your feature management journey.
beta-feature
until ready, then enable for testing.beta-feature
to premium users in Boston.beta-feature
for 10% of users, scale up if stable.flag()
is called.
flag('beta-feature')
logs if a user saw Enabled
.track()
function.
purchase_event
to measure beta-feature
’s impact.beta-feature
’s click-through rate for engagement.beta-feature
designs and pick the winner by clicks.Flags control what’s live (e.g., `New Feature`)
Segments decide who sees it (e.g., premium users)
Rollouts pace the release (e.g., 25% at a time)
Events and Impressions capture data (e.g., clicks, views)
Metrics reveal the impact (e.g., higher engagement)
Experiments test variations (e.g., A/B designs)