Skip to main content

​
Purpose

Upcoming. This page describes what Outcome Intelligence will do.
Outcome Intelligence will connect evaluation results with downstream hiring outcomes over time, closing the loop between who you evaluated and how they actually performed.

​
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: Upcoming. How a suggested change will reach your configuration: a person reviews it and a quality check runs before anything is applied.

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

No. Outcome Intelligence is Upcoming. This page describes what it will do.
No. Outcome Intelligence will be scoped to your organization only. Your data will improve your own evaluations only.
No. Outcome signals will inform future evaluation quality; they won’t reverse past decisions.
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.
The loop will work best with post-hire input (check-ins, manager feedback), configured to fit your process.
  • Calibration. How feedback from outcomes turns into versioned rubric changes.
  • Evaluation Design. Design evaluations the outcome loop can actually improve.