01 Connect
Connect your helpdesk.
Kaizo plugs natively into Zendesk and Salesforce and reads every conversation across channels, teams and languages. No connector to build.
See the integrations 01 Connect
Kaizo vs CallMiner (Eureka)
The Kaizo alternative to CallMiner
CallMiner is deep on analytics. Kaizo scores every conversation with no category syntax to build, links each score to the transcript and goes live in days.
Live in days · Native Zendesk and Salesforce apps · Last reviewed October 2026
Kaizo vs CallMiner (Eureka)
Trusted by global support teams
Main comparison
Why teams choose Kaizo over CallMiner
Live in days, not five months
Connect Zendesk or Salesforce, define a scorecard and switch on AutoPilot, against roughly five months for CallMiner.
No category syntax to hand-build
AutoPilot reads each conversation against your own scorecard, so analysts act on findings instead of feeding the tool.
Coaching cards written for you
AI writes a coaching card per agent from their own conversations, so prep drops from hours to minutes.
Every score linked to its evidence
Each score links to the evidence in the transcript, so disputes are settled by reading, not arguing.
How Kaizo compares to CallMiner
CallMiner earned its reputation on analytics depth and genuinely delivers quality at scale. But its own buyers report roughly 5 months to implement and 19 months to payback, and its reviewers hand-author the category syntax it runs on. Kaizo scores every conversation from day one with no syntax to write, links every score to the transcript evidence and turns each one into per-agent coaching.
Coverage and automation
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Automatic scoring of every conversation
Kaizo
Yes
CallMiner
Yes
Why
Kaizo: AutoPilot scores 100% of conversations against your own scorecard, with no sampling and no reviewer queue.
CallMiner: Credit where due: reviewers describe moving from manual to automated QA at a scale they could not audit before.
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Scoring with no hand-built query syntax
Kaizo
Yes
CallMiner
No
Why
Kaizo: AutoPilot reads the conversation against your scorecard, with no category or query language to author, debug or maintain.
CallMiner: Reviewers build categories and syntax by hand, ask for duplicate-syntax detection, and call category management tedious.
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Coaching generated per agent
Kaizo
Yes
CallMiner
Partial
Why
Kaizo: AI coaching cards are written per agent from their own conversations, so prep drops from hours to minutes.
CallMiner: Coach is real and reviewers value it, but one coaching user says there is not enough AI in the coach platform.
Trust and evidence
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AI you do not have to re-check
Kaizo
Yes
CallMiner
Partial
Why
Kaizo: Every score links to the evidence in the transcript, and teams raise the automation rate as trust builds.
CallMiner: One reviewer says parts of the AI capability are currently a bit behind, and accuracy is a top complaint tag.
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Scores that survive an agent's challenge
Kaizo
Yes
CallMiner
Partial
Why
Kaizo: Each score links to the evidence in the transcript, so disputes are settled by reading, not arguing.
CallMiner: Reviewers concede transcription errors on complex accents affect sentiment accuracy, a fairness problem when sentiment feeds a scorecard.
Time, effort and cost
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Time to implement
Kaizo
Days
CallMiner
About 5 months
Why
Kaizo: Native Zendesk and Salesforce integrations mean no custom integration work and no professional services engagement.
CallMiner: Their own buyers' verified figure on G2.
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Time to ROI
Kaizo
Fast
CallMiner
About 19 months
Why
Kaizo: Connect the helpdesk, define a scorecard, switch on AutoPilot. Most teams go live in days.
CallMiner: Their own buyers' verified figure.
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Runs without a dedicated analyst team
Kaizo
Yes
CallMiner
Operator-led
Why
Kaizo: AutoPilot keeps scoring continuously in the background, so nobody has to operate it or start a review cycle.
CallMiner: Administrators outnumber everyday users among reviewers, who describe building syntax and reorganising categories as part of the job.
Fit and focus
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Native CRM integration
Kaizo
Yes
CallMiner
Partial
Why
Kaizo: Native Zendesk and Salesforce integrations read every conversation straight from the CRM you already run.
CallMiner: Reviewers report technical issues with integrations and difficulty connecting certain telephony or CRM providers.
Competitor detail is drawn from public G2 reviews and G2's verified buyer metrics, current as of July 2026. If something here is out of date, tell us and we will correct it.
How switching works
Live in days, not a quarter
Three steps. No professional services engagement and no new job title.
02 Define
Define what good looks like.
Build the scorecard your business actually uses. Kaizo can read your knowledge base, so the AI judges the way your best reviewer would.
How scorecards work 02 Define
03 AutoPilot
Switch on AutoPilot.
AutoPilot scores 100% of conversations continuously and drafts a coaching card per agent. Your leads coach instead of grading.
See AutoPilot 03 AutoPilot
01 Connect
02 Define
03 AutoPilot
In their customers' words
Why teams are moving off CallMiner
Each quote is a public review of CallMiner, word for word. Under it, what Kaizo does instead.
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“One area where CallMiner is currently a bit behind is in parts of its AI capabilities, although it’s clear this is being addressed in upcoming platform updates.”
Speech Analytics Platform Analyst, Enterprise, April 2026 · G2
With Kaizo: AI scoring is the whole product, not one capability inside a speech analytics suite. Every score links to the transcript evidence, so you judge the AI by reading it.
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“not enough AI in the coach platform”
Verified User, Mid-Market, April 2026 · G2
With Kaizo: The coaching card is the output, not a blank form. Kaizo writes it per agent from that agent's own conversations.
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“There are also occasional transcription errors with complex accents, which can have a minor impact on sentiment accuracy”
Verified User in Insurance, Mid-Market, October 2025 · G2
With Kaizo: Every score links to the evidence in the transcript, so an agent can see exactly which words drove it. A score nobody can trace is a score nobody can defend.
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“I think it would be a neat feature if the system could highlight any duplicate syntax as I’m building it.”
Verified User in Hospital and Health Care, Mid-Market, June 2026 · G2
With Kaizo: There is no syntax to build, so there is none to de-duplicate. Kaizo reads the conversation against your own scorecard, and analysts act on findings instead of feeding the tool.
Where the two tools actually differ
CallMiner earned its reputation on analytics depth, and its reviewers describe automated QA at a scale they could not audit before. This page does not argue about coverage. It argues about what that coverage costs.
CallMiner runs on category syntax that analysts author, debug and maintain, and administrators outnumber everyday users in its reviewer base. Kaizo has no query language: AutoPilot reads each conversation against your own scorecard, links every score to the evidence in the transcript and writes a coaching card per agent. If your analytics run on Verint instead, see our Verint alternative.
The migration
Three steps, with no professional services engagement and no new job title. Connect Zendesk or Salesforce natively, with no custom integration work. Define the scorecard your business actually uses, and let Kaizo reach into your knowledge base and internal tools. Then switch on AutoPilot. Most teams go live in days, against the roughly five months CallMiner’s own buyers report.
What support leaders say about Kaizo
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50%
less QA time
“Our tickets can be long and complex. AI has been a life-saver in our experience.”
SteelSeries
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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
Frequently asked questions
Is CallMiner a bad product?
No. CallMiner is deep, its analytics are genuinely strong, and its reviewers describe assessing quality at a scale they could never reach manually. The question is what it takes to get there: roughly 5 months to implement by their own buyers' account, hand-built category syntax underneath, and 19 months to payback. Kaizo starts scoring the week you connect it.
We already analyse every interaction with CallMiner. What does Kaizo actually add?
Two things, and neither is more volume. First, trust: every Kaizo score links to the exact evidence in the transcript, so a disputed score gets an answer rather than an argument. Second, follow-through: Kaizo turns each scored conversation into a per-agent coaching card automatically. Analysis you cannot act on is a report, not a QA programme.
Will the AI actually be accurate on our conversations?
Do not take accuracy on faith from any vendor, including us. Kaizo connects to your knowledge base and internal tools so the AI evaluates against what your business actually knows, and every score links to the evidence in the transcript. Teams start at an automation rate they are comfortable with and turn it up as trust builds.
Do we need analysts to build categories and syntax?
Not with Kaizo. Their reviewers hand-author category syntax, ask for the system to flag duplicate syntax while they build it, and call renaming and refiling categories tedious. Kaizo has no query language: you define the scorecard in the words your business already uses and AutoPilot scores against it.
Our coaching already runs inside the platform. Is Kaizo's coaching really different?
Ask your supervisors who writes the coaching content today. One of CallMiner's own coaching reviewers says there is not enough AI in the coach platform, so the analysis and the write-up are still a manager's job. Kaizo generates the coaching card per agent from that agent's own conversations, with the supporting evidence already attached.
See what CallMiner is not scoring
We will run Kaizo across a sample of your real conversations, so you can compare the coverage rather than the feature list.
Trusted by global support teams