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Zendesk QA
Your reviewers read a handful of tickets per agent each month. The conversation that loses a customer is rarely in the sample — Zendesk QA scores support conversations automatically — tickets, calls and AI-agent replies — and Spotlight flags churn risk and escalations so team leads coach from evidence.
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How it’s rated
Full scoreboard ↓Quick answer
The Zendesk platform family
This page covers Zendesk QA — the quality-assurance add-on, formerly Klaus. The rest:
Quick facts
30-second orientation- Product
- Automated quality assurance for support conversations: AutoQA, Spotlight, scorecards and coaching
- Maker
- Zendesk, Inc., San Francisco; private since November 2022 under Hellman & Friedman and Permira; CEO Tom Eggemeier
- Origin
- Built on Klaus, which Zendesk agreed to buy in January 2024 and took over in February 2024
- Price
- US$35 per agent a month on annual billing; US$50 with Zendesk WFM in the Workforce Engagement Bundle
- Licence
- An add-on to every Suite and Support plan, also offered on the Employee Service pricing tab
- Coverage
- AutoQA scores 100% of interactions, Zendesk says, voice and AI-agent conversations included
- Other help desks
- Intercom and others, up to 50 connections, syncing every 4–6 hours per Zendesk’s help centre
- Hosting
- Google Cloud; Zendesk says QA may not be hostable in the regions its data-location add-on offers
- India
- No India data region and no INR billing; Bengaluru and Pune are Zendesk offices, not data centres
- In India via
- TechBag — scorecard design, a one-team pilot, and the quote itemised in INR with GST
Understand support QA before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is automated support QA?
Software scores every conversation against your scorecard, so quality is measured on the whole queue, not a sample.
Hand-sampled ticket reviews vs Zendesk QA — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Hand-sampled ticket reviews | Zendesk QA |
|---|---|---|
| Conversations reviewed | A few tickets per agent, picked by hand | Every interaction, by Zendesk’s account |
| Finding the bad ones | Luck, or a customer complaint | Spotlight flags churn risk and escalations |
| Checking the bot | Resolution counts and nothing else | AI-agent conversations scored like human ones |
| Phone support | Recordings nobody has time to hear | Voice interactions run through AutoQA |
| Where scores live | A spreadsheet per reviewer | QA dashboards, plus Quality Score in the Suite |
| What it is NOT | — | Live call monitoring, or hosted in India |
The cheapest test is one queue: run AutoQA on a team’s last month of tickets and compare it with your best reviewer’s scores.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Connections
Zendesk tickets feed QA natively; other help desks such as Intercom connect too, up to 50 connections, with tickets syncing every 4–6 hours by Zendesk’s help-centre account.
AutoQA
AutoQA grades conversations against your scorecard instead of a reviewer’s sample; Zendesk says it reaches 100% of interactions, phone calls and AI-agent replies included.
Spotlight
Spotlight lifts out conversations that show churn risk or an escalation, and QA dashboards track how human and AI agents score, so reviewers start where the risk is.
Hosting
Unlike the core Zendesk Suite on AWS, QA runs on Google Cloud, and Zendesk says it may not be hostable in the regions its data-location add-on offers; India is not one of them.
Help desks feed one scoring engine — AutoQA grades every conversation, Spotlight lifts the risky ones for coaching.
Six capabilities. Score, surface, coach.
Zendesk QA replaces sampled ticket reviews with automatic scoring of every conversation, human or AI.
Every conversation graded
AutoQA scores 100% of interactions, by Zendesk’s count, so the quality figure no longer rests on a few hand-picked tickets.
Calls inside the programme
Voice interactions go through AutoQA as well as tickets and chats, so a phone team is no longer left outside quality review.
Risky threads pulled forward
Spotlight flags conversations that show churn risk or an escalation, handing reviewers a short list instead of a random draw.
Bots on the same scorecard
AI-agent replies are judged with QA scorecards, spotlights and dashboards, a workflow Zendesk demonstrated in February 2026.
Scores become coaching
QA results feed coaching for human agents, so a weak score turns into a talk with a team lead rather than a row in a sheet.
A quality signal in the Suite
At Relate 2026 Zendesk brought Quality Score to Suite Professional and higher plans, so quality shows up inside the Suite itself.
Watch Zendesk QA in action
AI-agent evaluation with scorecards and spotlights, the AutoQA engine, and an overview of Zendesk QA, all from Zendesk’s official channel.
Evaluate AI agents using Zendesk QA scorecards, spotlights, and dashboards | What’s New
How QA scorecards, spotlights and dashboards are applied to conversations that AI agents handled.
Zendesk QA AutoQA: AI-powered quality assurance
AutoQA, the engine that scores conversations automatically in place of a reviewer’s sample.
Learn more about Zendesk QA (quality assurance)
An overview of Zendesk QA, released a few months after the Klaus deal closed.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Most support teams score a sliver of their conversations. Zendesk QA scores the rest, bots included.
Here’s what genuinely sets it apart — and exactly where it stops.
Quality measured on everything, not a sample
Most support QA still means a reviewer reading a few tickets per agent each month. Zendesk says AutoQA scores 100% of interactions, phone calls and AI-agent replies included, so the quality number describes the whole queue. Spotlight then narrows the human work to conversations showing churn risk or an escalation.
AI agents get reviewed like people
Zendesk bills its AI agents per automated resolution, so someone has to check what those agents actually told customers. Zendesk QA applies scorecards, spotlights and dashboards to AI-agent conversations, shown in February 2026, so a bot that closes tickets without solving them is caught before the complaints arrive.
Not tied to the Zendesk help desk
Zendesk QA started life as Klaus, an independent tool, and still reads from other help desks: Intercom and others, up to 50 connections, according to Zendesk’s help centre. Those tickets arrive every 4–6 hours, which suits review and coaching cycles. It is a US$35 add-on, or US$50 with WFM.
Where it stops
QA runs on Google Cloud, and Zendesk says it may not be hostable in the regions its data-location add-on covers; there is no India region either way, and invoices come in USD, EUR, GBP or BRL. Non-Zendesk tickets lag by hours. The product page says “Contact Sales”, and no Indian QA customer is named.
The numbers behind the platform
What your Zendesk QA rollout looks like
Rewrite the scorecard
Turn the spreadsheet rubric your reviewers use today into scorecard categories AutoQA can grade, and agree the pass marks.
Connect the help desks
Link Zendesk and any other help desk such as Intercom, allowing for the 4–6 hour sync before judging what QA can see.
Pilot on one team
Run AutoQA on one team’s queue, compare its scores with your best reviewer’s on the same tickets, and tune the categories.
Add voice and AI agents
Bring phone interactions and AI-agent conversations into scoring, and point Spotlight’s churn-risk threads at team leads.
Coach from the scores
Move team leads from random review to Spotlight lists and score-led coaching, then decide whether WFM joins via the bundle.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“We used to review four tickets per agent a month. AutoQA now scores the whole queue, and reviewers start from Spotlight.”
“Our chatbot looked fine on resolution counts. Scoring its conversations in QA showed it closing tickets it never solved.”
“We run support on Intercom, not Zendesk, and QA still works; just expect a few hours before new tickets show up.”
“Spotlight surfaced the angry-customer threads we used to find only after a cancellation. Coaching got far more specific.”
“Security asked where QA data sits. It is Google Cloud, outside the region setting we had chosen for the Suite.”
“Taking QA and WFM together in one bundle was easier to defend in our budget review than two separate add-on lines.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the support quality assurance market — tap any vendor to see why it sits where it does.
TechBag Support QA Grid
Execution strength vs product vision — the classic market map, minus the paywall.
US$35 add-on; ex-Klaus, part of Zendesk since February 2024.
Integration Reach × Scoring Depth
The grid nobody publishes — how many help desks and contact-centre systems it reads from vs how much of the scoring AI does.
Zendesk native plus up to 50 other help-desk connections.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Zendesk QA vs the support QA field
Set beside NICE Playvox, Rippit (formerly MaestroQA), Observe.AI, Level AI and Calabrio — on channels scored, AI depth, price, integrations, security and India.
| Dimension | Zendesk QA | NICE Playvox Quality Management | Rippit (formerly MaestroQA) | Observe.AI Auto QA | Level AI Quality Assurance | Calabrio QM Intelligence |
|---|---|---|---|---|---|---|
| What it is | QA add-on, ex-Klaus | QM and coaching suite | Conversation-data agents | Contact-centre AI suite | QA inside a CX AI suite | Auto QA in Calabrio ONE |
| Deployment | SaaS on Google Cloud | Cloud application | SaaS on AWS | Cloud platform | SaaS on Google Cloud | Fits an existing stack |
| Channels scored | Text, voice, AI agents | Chat, email, phone | Every conversation | Voice and chat | Calls, chat, email, bots | Voice and digital |
| AI scoring depth | AutoQA + Spotlight | Sampled, auto-assigned | Plain-language agents | Rule builder, auto-fill | QA-GPT, hybrid cards | 95–99% accuracy claim |
| Human review and coaching | Coaching from QA | Calibration, disputes | Coaching agents | Disputes and coaching | Calibration and disputes | Coaching workflows |
| Pricing model | Per agent, monthly | Quote | Plans + at-cost credits | Quote | Quote | Quote |
| Published entry price | US$35/agent/month | Not published | Free; Starter $185/mo | Not published | Not published | Not published |
| Included vs add-on | Add-on; $50 with WFM | Module of a suite | All plans score 100% | One of several agents | Part of the platform | Module of Calabrio ONE |
| Scale and limits | 50 links, 4–6 h sync | Goals by period | 1,000 to 1M+ chats | 350+ enterprises | No limits published | 1.8M assessments cited |
| Integrations | Zendesk + other desks | CRM/CCaaS connectors | Intercom, Zendesk, Gong | 250+ integrations | 40+ integrations | Any CCaaS, by claim |
| Security attestations | Ask for QA’s reports | Not stated | SOC 2, ISO 27001/42001 | SOC 2 II, PCI DSS L1 | ISO, SOC 2, HITRUST | Not stated |
| India data region | No India region | Not published | US or EU only | Bangalore office | Region not published | Not published |
| Lock-in and exit | Other desks allowed | Reads your stack | History carried over | Open APIs, MCP | Erased within 30 days | Ownership changed |
| Best fit | Zendesk-first teams | WEM buyers on NICE | Price-first pilots | Voice-heavy centres | Compliance-led centres | Verint and WFM estates |
Which approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Zendesk QA if…
- ✓Your support runs on Zendesk and you want every ticket, call and AI-agent conversation scored without adding another vendor
- ✓You are rolling out Zendesk AI agents and need to review what they tell customers, not just count their resolutions
- ✓You also want scheduling, and taking QA with Zendesk WFM in the US$50 Workforce Engagement Bundle fits your budget
Compare alternatives if…
- ✓You want a price you can read before a sales call — Rippit lists Free, $185 and $495 monthly plans
- ✓Your contact centre is voice-first on a CCaaS such as Amazon Connect or Five9 — Observe.AI and Level AI connect there
- ✓You need a published security pack for the QA tool itself — Level AI and Rippit list ISO 27001 and SOC 2 Type II
Do not expect…
- ✓QA data held in India, or covered by the Data Center Location add-on you set for the Suite
- ✓Live scoring of tickets from other help desks — they reach QA on a 4–6 hour sync
- ✓A rupee invoice for the QA add-on; Zendesk bills it in USD, EUR, GBP or BRL
TechBag has no support quality assurance guide yet, so Zendesk QA sits outside the category guides. Browse all products to compare it with the rest of the catalogue. →
What does sampling conversations by hand cost you?
Drag the sliders (support agents in the QA programme; reviewer-hour cost). Estimates model reviewer time spent picking, reading and scoring sampled conversations at an assumed 1.5 hours per agent a year, with 70% of it removed by automatic scoring. Both figures are assumptions. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Published: Zendesk QA is an add-on at US$35 per agent a month on annual billing, available on every Suite and Support plan; with Zendesk WFM it is US$50 per agent a month in the Workforce Engagement Bundle. Zendesk bills in USD, EUR, GBP or BRL, not INR. TechBag pilots it on one team first, then quotes in INR with GST.
Zendesk QA add-on
Best for a quality programme on its own
- US$35 per agent a month, billed annually
- AutoQA, Spotlight and coaching
- Added to any Suite or Support plan
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
Workforce Engagement Bundle
Best when scheduling hurts too
- US$50 per agent a month, billed annually
- Zendesk QA plus Zendesk WFM
- One add-on line instead of two
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Which help desks hold your conversations — Zendesk alone, or Intercom and others that sync every 4–6 hours?
Can your current rubric be written as categories AutoQA scores, and who will own keeping it calibrated?
Do your calls run through Zendesk, and will those voice interactions reach QA the way tickets do?
Are AI agents answering customers today, and who reviews their conversations before you scale them up?
Can your policy accept QA data on Google Cloud, outside Zendesk’s data-location add-on and outside India?
Which Suite or Support plan are you on? Quality Score inside the Suite needs Professional or above.
Will you add Zendesk WFM too? The US$50 bundle covers both; QA alone is US$35 per agent a month.
How many agents will QA cover, and on what term? Ask for the quote itemised in INR with GST and renewal terms.
Questions buyers ask
Ready to evaluate Zendesk QA?
Score a week of one team’s conversations first, or let a TechBag advisor turn your current rubric into a scorecard and run the pilot.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.