Success Metrics
KPIs from workforce planning flow into hiring criteria. Define them once on the position \u2014 they follow the role, the candidate, and the AI worker. One number, end-to-end.
The Problem
In most platforms, KPIs live in a spreadsheet. Job descriptions are written by a recruiter who guesses what success looks like. Candidates are evaluated against the JD, not the actual KPIs. AI agents (when used) are measured by entirely different metrics. Nothing connects. The metric a hiring manager actually cares about never makes it into the role definition.
How It Works
KPIs Live on the Position
On the Position Detail Sheet → Functions tab, each function has activities, and each activity has KPIs. Inline editing means leaders update KPIs as the work changes.
Roles Inherit Success Metrics
When you create a role from a position, the role’s successMetrics field auto-populates from the position’s KPIs. Hiring criteria = actual operational metrics.
Candidates Are Evaluated Against Them
AI Skill Evaluation considers success metrics. Per-skill scores reference the real KPIs. Career site “Why this role” narratives cite them for transparency.
AI Workers Are Measured by Them
When an AI worker fills a position, its KPIs become the worker’s success criteria — captured in the onboarding wizard, baked into SOPs, reviewed in Activity History.
Capabilities
Who It's For
Connect your KPIs to your hiring
Pro plan or above