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AI Coaching

Targets an agent can actually hit.

Set goals against an agent’s real performance curve rather than a number picked in a planning meeting, and track the trajectory rather than the snapshot.

AI Coaching
Performance goals set against an agent trajectory

Realistic

Built from where they actually are.

A goal set from an agent’s own performance curve is motivating. One set from a team average is usually either trivial or demoralising.

  • Goals anchored to individual trajectory
  • Progress visible to the agent, not just the manager
  • History kept alongside QA scores and notes
Realistic
Performance goals set against an agent trajectory

FAQ

Frequently asked questions

Can agents see their own goals?

Yes. Agents can look at their performance data and progress at any time, which is most of what makes goals work.

Does this connect to coaching?

Directly. Coaching history, QA scores, goals and one-to-one notes sit in the same place.

Set goals people can reach

We will show you what realistic targets look like based on a sample of your team’s actual performance.

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