AI identifies skill gaps across evaluated conversations so coaching plans are built on complete performance data, not just the interactions you happened to review.
Connect performance insights directly to agent development. Identify who needs support and what they need it for, then build structured coaching sessions grounded in real interactions.
Link coaching sessions directly to real conversations so feedback is specific, relevant, and grounded in evidence. Assign follow-up materials and track progress over time.
Coaching flows naturally from your evaluations, so less time is spent on admin and more on giving structured, useful feedback. Get started quickly with built-in frameworks like GROW, OSKAR, and CLEAR.
A consistent approach to coaching means agent development does not depend on the individual manager. Track coaching activity in dedicated dashboards and spot performance issues before they compound.
Build coaching sessions directly within your QA workflow so insights translate into action without any extra steps.
Identify who needs coaching and exactly what they need it for, with dedicated dashboards that track coaching status across your teams.
Turn QA findings into structured coaching sessions using proven frameworks like GROW, OSKAR, and CLEAR.
Replace ad hoc coaching with a consistent, repeatable approach across teams, with clear follow-through on every session.
Leonie Cooper, Client Resolution Manager, Sanlam
Heather Veras, QA Analyst, NYCCBF
Martine Nicholson, Training and QA Manager, Premia Solutions