Self-development

Development shouldn’t stall between 1:1s. With AI Coaching, people practice and test their skills on their own, in a low-pressure space, so the time later spent with a human coach goes toward the harder gap that AI can’t fill, instead of ground they could have covered alone.

The person picks the skills they want to work on and starts a session on their own.

How a person uses it

It’s one natural conversation. The AI coach teaches the skill, gives examples, and answers questions the way a good tutor would, while quietly forming an assessment of where the person stands. Because it’s grounded in your organization’s own skills, playbooks, and context (and any custom AI Coaches you’ve built), the coaching is tailored, not generic.

Feed the results into coaching

When a person has covered a skill well, the coach offers a short summary and asks whether to save it. Saved results appear in the AI column on their profile; nothing is recorded unless they say yes.

An AI session produces a score in the AI column. The person keeps the ones that reflect their real level and deletes the rest.

This is what makes self-coaching a genuine supplement to 1:1s: the person arrives at the session having already practiced and self-assessed, so you spend the human time on what’s left. Use their AI-graded results as the starting point for the conversation, then coach the gap.

Set it as homework

Between 1:1 Meetings, point people at the specific skills to practice. They close what they can alone, and you both walk into the next session already a step ahead.

For how AI scores roll up alongside coach and self assessments, see Calculating mastery.