Experimentation
The flag you shipped is the experiment you measure.
There’s no separate experiment to set up. Attach metrics to a flag and Foredeck computes lift and confidence intervals from the exposures it already emits — with SRM checks and sequential testing when you need statistical depth.
FreeIncluded from the Free tier.
new-checkoutactive · 14 daysOne object. Ship and measure are the same action.
What you get
Why Foredeck for experiments.
Flag = experiment
Metrics live on the flag, so measurement is free the moment you ramp — no second resource to wire up or keep in sync.
Trustworthy readouts
Lift with confidence intervals, exposure counts, and a built-in sample-ratio-mismatch check so you can trust the number.
Depth when you need it
Sequential testing and variance reduction (CUPED) plug into the same exposure⋈metric join behind entitlement gates — never a paywall on experiments themselves.
Any metric type
Counters, conversion rates, gauges, and distributions — including latency percentiles and warehouse-native metrics — all usable as an experiment metric.
How it works
Three steps, one pipeline.
Pick one of your metrics as the primary readout for the flag.
Exposures stream in automatically as units are bucketed into variations.
See effect size, CI, and diagnostics on the flag page — and promote or roll back.
Better together
Works with the rest of the platform.
Feature Flags
FreeShip every change behind a flag — free and unlimited.
Explore Feature Flags →Metrics
FreeDefine a metric once, use it everywhere.
Explore Metrics →Guardrails & Auto-Rollback
ProCatch a regressing release before it spreads — automatically.
Explore Guardrails & Auto-Rollback →Warehouse-Native Metrics
TeamCompute on the warehouse you already trust — no shadow copy.
Explore Warehouse-Native Metrics →One object, one pipeline. The same rollout you ship is automatically measured, guarded, and — when it breaks — traceable, because every signal is joined to the flag and variation the unit was in.
Get in