Use case
Managers spend most of their coaching prep hunting for examples. Kaizo pulls every rating an agent has received and drafts the feedback, linked to the conversations it came from.
Trusted by global support teams
Coaching is the first thing to fall off a manager’s week, not because it does not matter but because preparing it properly takes hours. Finding representative examples across a month of tickets is genuinely hard, so the session either gets postponed or happens without evidence behind it.
Coaching cards
Kaizo generates per-agent feedback from their own conversations. Managers approve it and add the personal note, rather than starting from a blank page.
Fairness
Feedback drawn from 100% of an agent’s conversations is harder to argue with than feedback drawn from the three a manager had time for.
More about goals
50%
less QA time
“Our tickets can be long and complex. AI has been a life-saver in our experience.”
SteelSeries
75%
faster resolution
“Kaizo is an essential part of finding the root causes of areas we need to improve, then improving on that.”
Foot Locker
FAQ
No. It drafts, a manager approves. The judgement stays human; only the preparation is automated.
Better than to sampled feedback, generally. Every point links to a specific conversation, so a disagreement is settled by reading it together rather than arguing about impressions.
Yes. Coaching history, QA scores, meeting notes and tasks sit in one place, and goals can be set against an agent’s actual performance curve.
We will draft coaching cards from a sample of your real conversations so you can see the quality of the output.
Trusted by global support teams
