unitQ Support QA vs Zendesk QA
An independent grader for in-house teams, BPOs and AI agents, versus AI QA native to the Zendesk service suite.
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. unitQ Support QA is an independent grader that isn't tied to the vendor whose bot or agents it scores. Custom rubrics in Tag Studio are checked on real conversations in Testbench. Bot conversation checks are configured for your workspace. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9. Rubrics and scorecards can be shared across in-house teams, BPOs and AI agents, or split out with bot-specific checks.
Updated October 19, 2026
unitQ Support QA vs Zendesk QA, side by side
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. Zendesk QA (formerly Klaus) auto-scores human and AI agent conversations, native to the Zendesk service suite (zendesk.com). unitQ Support QA is independent of the helpdesk: as many rubrics and scorecards as your policies require, shared across in-house teams, BPOs and AI agents or with bot-specific checks.
| Capability | unitQ Support QA | Zendesk QA |
|---|---|---|
| Independent of the vendor being graded | ✓unitQ doesn't sell the AI agent, the helpdesk or the labor it grades, so scores stay neutral for humans and AI. | ~Zendesk QA is part of the Zendesk suite, which also runs the helpdesk and offers AI agents, so grading sits with the same vendor's stack (zendesk.com). |
| Coverage | ✓100% coverageunitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. | ✓Zendesk QA says AutoQA reviews every interaction and calls this 100% coverage, including AI agents, voice and BPOs (zendesk.com). |
| Custom rubrics | ✓Your team owns the rubric in Tag Studio. Each check has a plain-language definition, fail values and worked examples, and rubric groups can be weighted. You can attach policy or SOP docs as reference. | ✓Zendesk QA says you can build your own AutoQA categories in your own words (zendesk.com). |
| Test and update checks before go-live | ✓Try a check on real past conversations in Testbench before it goes live. Your team edits checks as drafts, and unitQ sets a check live when you're ready. | –Not a stated focus. |
| All support channels | ✓All your support channels (chat, email, messaging, voice, IVR) via integrations such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9 | ✓Zendesk QA says it covers all channels, including voice and BPOs (zendesk.com). |
| One scorecard across BPO and in-house teams | ✓One scorecard you own for in-house and BPO teams, broken down by BPO vendor vs in-house team using the team and vendor mapping set up for your workspace. AI agents can share your human standard or get bot-specific checks. | –Zendesk QA says it covers BPOs (zendesk.com). A scorecard you own across BPO and in-house teams is not stated. |
| Scores AI agent conversations | ✓AI-agent conversations can be scored on your shared standard or on bot-specific checks, independent of the bot vendor: real containment, wrong information, loops, escalations that shouldn't have happened, inaccurate resolutions and recovery after reaching a person. Configured for your workspace during setup. | ✓Zendesk QA offers automatic human and AI agent scoring (zendesk.com). |
| Process and policy adherence | ✓Pass/fail checks for required steps and policy adherence, not just tone and empathy, with every miss linked to the conversation. It grades what shows in the conversation. | –Not a stated focus. |
| Compliance checks | ✓Pass/fail compliance checks you define, such as required disclosures, privacy handling and policy adherence. | –Not a stated focus. |
| Scoring accuracy | ✓unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. | –Not a stated focus. |
| Score granularity | ✓Each check is scored on each conversation, rolled up into one quality score with competency and compliance views, and broken down by contact reason, team, BPO vendor, region, manager and agent. Breakdowns depend on the team and vendor mapping set up for your workspace. | –Not a stated focus. |
| Evidence behind every score | ✓Every scored miss links back to the conversation behind it. | ✓Zendesk QA ties each score to the conversation reviewed. |
| From insights to coaching | ✓Managers get an evidence-linked coaching brief per agent and a roster of strengths and gaps by skill. Results roll up by team, manager and BPO vendor. AI-agent conversations get their own bot audit, with findings and a suggested owner such as conversation design. | –Zendesk QA describes 1:1 coaching and training sessions inside the suite (zendesk.com). Coaching rollups by BPO site, and a separate bot audit, are not stated. |
| Coaching effectiveness over time | ✓The Coaching overview tracks coaching sessions, session rate, coached vs pending vs past-due, focus areas and history by manager, and follows coached agents' scores after a session. | –Not a stated focus. |
| Real-time in-call agent assist | ✕Not what unitQ Support QA does. Teams that need live assist pair it with an assist tool. | –Not part of Zendesk QA. Zendesk sells Copilot separately (zendesk.com). |
Also running unitQ Monitor? Quality themes from unitQ Support QA can sit beside contact reasons and product issues, so support and product work from the same view.
Choosing an AI agent too? Grade every vendor on your own rubric with the AI agent POC playbook.
Where Zendesk QA falls short
- Zendesk QA is an add-on to a Zendesk Support or Suite plan, so the grader sits with the help desk vendor (zendesk.com).
- Zendesk also sells the AI agents that QA scores. Its QA page says Zendesk AI agents are offered separately (zendesk.com).
- Zendesk lists the QA add-on at $35 per user per month, and a WEM add-on at $50 per user per month that bundles QA and workforce management (zendesk.com).
Why teams choose unitQ Support QA
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live. Zendesk QA is the path of least resistance if you live inside Zendesk. unitQ Support QA is the pick when the grader should be independent of the helpdesk and the AI agent vendor, with in-house and BPO teams on one scorecard and AI agents audited separately.
- Deep native integration with the Zendesk service suite
- Auto QA across human and AI agents in one system
- AI scoring on comprehension, empathy, tone and resolution, with CSAT correlation
- unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours.
- unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live.
- An independent grader that isn't tied to the vendor whose bot or agents it scores
- Custom rubrics in Tag Studio, checked on real conversations in Testbench
- Bot conversation checks configured for your workspace
- All your support channels (chat, email, messaging, voice, IVR) via integrations such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9
- As many rubrics and scorecards as your policies require, shared across in-house teams, BPOs and AI agents or with bot-specific checks
- Evidence linked to every scored miss
Independent support QA
unitQ Support QA is an independent grader for support conversations. unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9. It grades those conversations on your standards, runs as many rubrics and scorecards as your policies require, scores AI agents on a shared standard or on bot-specific rubrics, and backs every miss with evidence from the conversation. unitQ also offers unitQ Monitor, unitQ Impact, unitQ Compete, unitQ Research and unitQ Social.
From every customer signal to one quality score
Point tools hand you six dashboards and leave you to connect them. unitQ runs every signal through one intelligence layer in real time, so an issue caught in support flows into your metrics, your competitive benchmarks, and your roadmap. Hover or tap a product to see its job.
Every signal flows through unitQ into the six products below. Hover or tap a product to see its job.
Questions to ask Zendesk QA before you buy
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours.
Your team owns the rubric in Tag Studio. Each check has a plain-language definition, fail values and worked examples, and rubric groups can be weighted. You can attach policy or SOP docs as reference.
Try a check on real past conversations in Testbench before it goes live. Your team edits checks as drafts, and unitQ sets a check live when you're ready.
Pass/fail checks for required steps and policy adherence, not just tone and empathy, with every miss linked to the conversation. It grades what shows in the conversation.
Pass/fail compliance checks you define, such as required disclosures, privacy handling and policy adherence.
unitQ Support QA leads on scoring accuracy: every check has a plain-language definition, fail values and worked examples, and you validate it in Testbench on your own past conversations next to your own reviewers before it goes live.
Each check is scored on each conversation, rolled up into one quality score with competency and compliance views, and broken down by contact reason, team, BPO vendor, region, manager and agent. Breakdowns depend on the team and vendor mapping set up for your workspace.
Managers get an evidence-linked coaching brief per agent and a roster of strengths and gaps by skill. Results roll up by team, manager and BPO vendor. AI-agent conversations get their own bot audit, with findings and a suggested owner such as conversation design.
The Coaching overview tracks coaching sessions, session rate, coached vs pending vs past-due, focus areas and history by manager, and follows coached agents' scores after a session.
Yes. Klaus was acquired by Zendesk and rebranded Zendesk QA. It's now part of the Zendesk service suite.
No. unitQ Support QA is independent of the helpdesk. unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9.
Both do. Zendesk QA scores human and AI agents within the Zendesk suite. unitQ Support QA scores AI agents on a shared standard or on bot-specific rubrics, independent of the vendor that built them.
Yes. Zendesk QA is native to the Zendesk suite. unitQ Support QA scores 100% of your support conversations, not a sample, against your own scorecard, with one score per agent, team and BPO vendor and every miss linked to the conversation.
unitQ doesn't publish pricing for unitQ Support QA.
Talk to unitQ about an evaluation on your own data. If you're running a POC of AI agents, the free AI agent POC playbook shows how to grade every vendor on a rubric you own.
Setup covers connecting the support conversations you want graded, drafting your checks in Tag Studio, the rubric editor in unitQ Support QA, and trying each check on real past conversations in Testbench before it goes live. Your team saves and edits checks as drafts, and unitQ sets a check live when you're ready. For AI agents, Bot Audit is configured for your workspace during setup. Talk to unitQ about an evaluation on your own data.
Yes. unitQ Support QA scores AI-agent conversations on a shared standard or on bot-specific rubrics, whichever your policies require, independent of the vendor that sold the bot. Checks look at whether containment was real, and flag wrong information, loops, escalations that shouldn't have happened and inaccurate resolutions, plus how often conversations recover after reaching a person. Bot Audit is configured for your workspace during setup.
unitQ Support QA scores 100% of your support conversations, not a sample, so coverage doesn't depend on reviewer hours. unitQ Support QA supports all your support channels, including chat, email, messaging, voice and IVR (automated phone menus), through integrations with platforms such as Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Amazon Connect and Five9.
See unitQ Support QA
Run as many rubrics and scorecards as your policies require: one shared standard for in-house teams, BPOs and AI agents, or bot-specific checks for loops, false containment and handoffs.