Use case
CSAT tells you something is wrong after the customer has already had the bad experience. Kaizo reads every conversation and tells you what is causing it while you can still act.
Trusted by global support teams
When CSAT dips, the honest answer to “why?” is usually a guess. The survey tells you a customer was unhappy; it does not tell you whether that was a broken process, a product problem, or a skill gap, and those three need completely different responses.
Root cause
Kaizo separates the systemic from the individual, so you know whether to fix a process, escalate to product, or coach a person.
Sentiment
Sentiment and empathy are scored across every message, so the pattern shows up as a trend rather than as a detractor score.
More about sentiment
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
Surveys capture the customers who respond, after the fact. Kaizo reads every conversation, including the ones from customers who churn quietly rather than filling in a survey.
As soon as there is enough volume behind it. Because coverage is complete, a pattern reaches significance far faster than it would from a 3% sample.
We will score a sample of your real conversations and show you the causes behind your current numbers.
Trusted by global support teams
