Most coaching is a monthly chat about a call nobody remembers. Here it starts from the scored call itself, picks the one skill that needs work and lets the agent rehearse it with a simulated customer until it sticks.
You charged me an annual fee I was told would be waived. I’ve been with you twelve years.
Twelve years is a long time, and I can hear why that’s frustrating. Let me check what you were told.
Because Auto QA scores every call, coaches know exactly where each agent is strong and where they slip. Time goes where it will change the next call.
A missed criterion opens a coaching item with the call attached. Why it matters: feedback is specific and arrives while the call is fresh.
Coaches jump to the turn where the call changed. Why it matters: a coaching session takes minutes, not an hour of listening.
When many agents miss the same step, it shows up as a team theme. Why it matters: fix it once in training or the script, not agent by agent.
| Skill | Status | Live call score |
|---|---|---|
| Acknowledge before explaining | ✓ signed off | |
| Confirm identity before account detail | ✓ signed off | |
| State next steps and timing | practicing |
The same simulation engine that tests our AI agents plays the customer for your people. It can be calm, confused or angry, and it reacts to what the agent actually says.
Gamification on the live floor turns quality into something teams can see and celebrate during the shift, not only in a monthly report.
Recognition tied to quality and resolution, so speed never beats doing it properly.
Progress shows up on the live floor, so good work is noticed during the shift it happened.
Agents who can see themselves improving are more likely to stay, which protects your investment in training.
Pick a hard call your team handles. In the demo you can take it against a simulated customer and see the coaching notes it produces.