Purpose
Outcome Intelligence is not available yet. We’re building this feature; it is
not on your account today.
What it will draw on
Evaluation results
The scores and reports produced during hiring.
Post-hire signals
D30/D60/D90 check-ins and manager feedback, where configured.
What it will improve
Once built, the loop will feed back into your own configuration — never a shared or cross-customer model:Rubric calibration
Tune scoring dimensions based on what actually predicted success.
Evaluation design
Refine which stages and questions carry real signal.
Future evaluation quality
Each cycle sharpens the next — the advantage compounds for your organization.
This learning will be scoped to your organization only. Your outcomes will
improve your evaluations — Exterview will not pool your data into a shared
model.
Human review, every step
This will never be a fully automatic loop. Two separate checks will always sit between a suggestion and an actual change to your configuration:A person picks the suggestion
Someone on your team will review a suggested change and choose whether to act on it. Nothing is applied automatically.
A separate quality check must also pass
Even after a person approves a suggestion, an automatic quality check will still need to pass before the change actually takes effect.
FAQs
Is this available today?
Is this available today?
No. Outcome Intelligence is coming soon and is not on your account yet. This page describes what we’re building.
Will the system re-decide past hires?
Will the system re-decide past hires?
No. Outcome signals will inform future evaluation quality; they won’t reverse
past decisions.
Will every suggested change happen automatically?
Will every suggested change happen automatically?
No. A person on your team will always review and choose whether to act on a
suggestion, and a separate automatic quality check will also need to pass
before anything changes.
Will we need to supply post-hire data?
Will we need to supply post-hire data?
The loop will work best with post-hire input (check-ins, manager feedback), configured to fit your process.
Related
Calibration
How feedback from outcomes turns into versioned rubric changes.
Evaluation Design
Design evaluations the outcome loop can actually improve.