BETA
Join the waitlist Every deploy watched. Every regression caught.
Monitor correlates each release to the metrics it touched. A guardrail breach rolls the flag back and opens a finding with the evidence.
Rollouts that watch themselves
Ship behind flags, roll out in stages, and let the canvas tell you what each release did.
Correlate deploy to metric
Each release is stamped on every funnel step and segment, so a move is explained the moment it appears.
Guardrails with teeth
A breach on error rate, conversion or support volume pauses or rolls back the flag, then opens a finding.
The fix starts from the finding
Research and Build pick up the finding with the release, the metric and the replays already attached.
Step 2 −4.1% · mobile
Built for engineering teams
Release timeline
Every deploy, its flag and its metric effect on one block.
Staged rollouts
10% to 100% with an approver on each step.
Rollback with a record
Who rolled back, why, and what the numbers did, without a postmortem doc.
Digest to Slack
What shipped, what moved, what rolled back, every morning.
Start from a prompt.
“Why did activation drop on Tuesday? Check the releases and segments.”
Run this when my batch opens →“Watch checkout conversion after every deploy and roll back the flag if it drops more than 3%.”
Run this when my batch opens →Questions, answered.
Which flag systems are supported?
Flags Build creates, plus LaunchDarkly and similar via integration.
Can it roll back on its own?
Yes, if you set the guardrail to. Otherwise it pauses and asks.
Does it replace observability?
No. It reads your analytics and errors and adds the product-metric view and the record.
Stop running the business. Start directing it.
Join the waitlist
ScoutPrivate beta. We onboard teams in small batches. Or contact us.