How we make this list: we compare pricing pages, product documentation and public user reviews. Ratings come from G2, Capterra or Trustpilot, with the date we checked them.
Best software for monitoring live chat quality
The best software for monitoring live chat quality is EvaluAgent for most teams, because it publishes a clear price, scores chat transcripts with AI, and links scores to coaching. Zendesk QA is the better pick for teams already on Zendesk, and Scorebuddy suits teams that want structured scorecards with a learning module.
Separate Rankite guides cover call-center and contact-center quality assurance. This guide judges live-chat quality specifically, so it covers chat transcript scoring, AI chat analysis, agent coaching on chat, and CSAT tracking. It does not list pure call-recording tools with no chat QA.
Key takeaways
- EvaluAgent is the top pick for most teams, with published pricing from 35 dollars per user per month and AI scoring across chat, email, and voice.
- Zendesk QA suits Zendesk teams, because it scores chats inside Zendesk and also grades AI agents with the same scorecards.
- Rippit, formerly MaestroQA, now sells by agent runs rather than by seat, so small teams should check run limits before they buy.
- Five of the eight tools in this guide do not publish a price, so ask for a written quote that states seat count, chat volume, and included AI scores.
- A live-chat QA tool is only useful if scores lead to coaching, so check calibration, disputes, and coaching workflows before you sign.
Comparison table
| Tool | Best for | Starting price | Free plan |
| Rippit (formerly MaestroQA) | AI analysis of chat and other conversations | 185 dollars per month | Yes, free plan with 100 agent runs per month |
| Zendesk QA (formerly Klaus) | Zendesk teams scoring chat in Zendesk | Quote, third-party reported 35 dollars per agent per month | No, trial through sales |
| Playvox by NiCE | QA plus scheduling and coaching in one suite | Quote | No |
| EvaluAgent | Published pricing and coaching-led QA | 35 dollars per user per month | No, proof of concept after a demo |
| Observe.AI | Large contact centers automating QA at scale | Quote | No |
| Level AI | AI-native QA plus real-time assist | Quote | No |
| ScorebuddyCX | Structured scorecards with a learning module | Quote, third-party reported 24 dollars per user per month | No, 14-day free trial |
| Kustomer AI QA | Kustomer teams scoring chat inside the CRM | Quote | No |
What is live chat quality monitoring
Live chat quality monitoring is the process of reviewing chat transcripts against a written standard and then coaching agents on what to change. A reviewer or an AI system reads a finished chat, checks greeting, tone, accuracy, policy compliance, and resolution, and records a score for each point. It links each score to the exact chat lines that support it.
How does AI chat scoring work
AI chat scoring works by applying a scorecard to a full chat transcript, instead of asking a human to read every chat by hand. The buyer writes the scorecard first, with questions such as whether the agent greeted the customer, verified identity, used the approved policy, and resolved the issue. The AI then reads each chat, answers each question, and gives a reason tied to specific lines in the transcript. Calibration matters, because two reviewers can grade the same chat differently.
How much does live chat QA software cost
Live chat QA software costs from 35 dollars per user per month at the published end to a custom annual quote at the enterprise end. EvaluAgent publishes 35 dollars per user per month for AutoQM and Improvement, and 65 dollars per user per month with Conversation Intelligence, checked in October 2026. Rippit uses a different model, with paid plans from 185 dollars per month based on agent runs, not seats. The other six tools do not publish a starting price, so treat third-party figures as reported estimates only. Add-on costs can sit outside the headline price.
What to check before you buy
Check integrations before you buy, because a QA tool that cannot read your chat transcripts is of little use. Ask whether it connects to your helpdesk or chat platform, such as Zendesk, Intercom, Salesforce, Freshdesk, or Genesys, and whether the connection is native. Then ask to build one of your own scorecards in a trial, with weighting and auto-fail rules. Check calibration and disputes, because a score that cannot be challenged will create friction. Check coaching too.
How do you run a live chat QA program week to week
A live chat QA program works best as a short weekly cycle, not as a monthly report that no one reads. Start each week by scoring a set of chats, either all chats with AI scoring or a fixed sample with human review. Then review the lowest scores first, and look for repeat causes such as missing policy steps or slow first replies. Hold a short calibration session when reviewers disagree. Give each agent one coaching action tied to a real chat.
Quick comparison
| Tool | Best for | Starting price | Free plan |
|---|
 Rippit (formerly MaestroQA) | Teams that want AI agents to read every chat and surface coaching, churn, and product themes | Free plan, then 185 dollars per month for Starter, checked 14 Nov 2026 on the vendor pricing page at https://www.rippit.com/pricing | Yes, free plan with 100 agent runs per month and 100 dollars in AI credits included |
 Zendesk QA (formerly Klaus) | Teams that already run support and live chat inside Zendesk | Quote, vendor does not publish a standalone QA price; third-party reported 35 dollars per agent per month, with a QA plus workforce management bundle reported at 50 dollars per agent per month, both billed yearly | No, trial through sales |
 Playvox by NiCE | Teams that want QA, workforce scheduling, and coaching bundled in one suite | Quote, vendor does not publish a price; third-party reported tiers of 25 dollars, 35 dollars, and 45 dollars per user per month, with one-time onboarding fees reported at 3,000, 5,000, and 7,000 dollars | No |
 EvaluAgent | Mid-size teams that want published per-user pricing and coaching-led QA | 35 dollars per user per month for AutoQM and Improvement, and 65 dollars per user per month with Conversation Intelligence, checked Oct 2026 on the vendor pricing page | No, proof of concept after a demo |
 Observe.AI | Large contact centers that want AI QA, real-time assist, and conversation intelligence in one platform | Quote, vendor does not publish a price; third-party reported figure from AWS Marketplace of about 69 dollars per agent per month for one module, with other reports putting full deployments at 60 to 120 dollars per agent per month | No |
 Level AI | AI-native contact centers that want QA, agent assist, and virtual agents from one vendor | Quote, vendor does not publish a price; third-party reported range of 35 to 185 dollars per agent per month, depending on modules and volume | No |
 ScorebuddyCX | Teams that want structured scorecards, AI auto-scoring, and a built-in learning module | Quote, vendor publishes tier names only with no dollar amounts; third-party reported 24 dollars per user per month for Foundation, 32 dollars for Accelerate, and 41 dollars for Elite | No, 14-day free trial |
 Kustomer AI QA | Kustomer teams that want chat QA scored inside the customer timeline, with no separate QA tool | Quote, vendor does not publish platform seat prices; third-party reported 89 dollars per user per month for Enterprise and 139 dollars for Ultimate, plus AI for Customers at 0.60 dollars per engaged conversation and AI for Reps at 40 dollars per user per month | No |
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
#1Rippit (formerly MaestroQA)
Best for: Teams that want AI agents to read every chat and surface coaching, churn, and product themes4.8/5 on
G2 (325 reviews, checked Oct 2026)
Visit rippit.com
Starting priceFree plan, then 185 dollars per month for Starter, checked 14 Nov 2026 on the vendor pricing page at https://www.rippit.com/pricing
Free planYes, free plan with 100 agent runs per month and 100 dollars in AI credits included
Rippit is the new name for MaestroQA, and maestroqa.com now redirects to rippit.com. A QA agent can score 100 percent of support conversations, and other agents can monitor chatbot chats and flag churn risk. The homepage, checked 14 Nov 2026, loads. Starter costs 185 dollars per month for 300 runs and Growth costs 495 dollars per month for 1,000 runs. Price conflict to note: older third-party listings still show MaestroQA at 15 dollars per user, which does not match the current vendor run-based pricing.
What we like- Scores 100 percent of connected conversations, connects to Zendesk and Intercom, offers self-service sign-up with no credit card for the free plan
Watch out for- The rebrand changed the product model, so teams that want classic sampled manual QA may find the new agent-based model is a poor fit, and paid plans bill AI credits at cost on top of the monthly fee
#2
Zendesk QA (formerly Klaus)
Best for: Teams that already run support and live chat inside Zendesk
Visit zendesk.com
Starting priceQuote, vendor does not publish a standalone QA price; third-party reported 35 dollars per agent per month, with a QA plus workforce management bundle reported at 50 dollars per agent per month, both billed yearly
Free planNo, trial through sales
Zendesk QA started as Klaus, which Zendesk acquired in 2024, and klausapp.com now redirects to Zendesk. The vendor page, checked 14 Nov 2026, describes always-on QA with AutoQA, Spotlight risk detection, AI agent QA, and targeted coaching. AutoQA can use out-of-the-box categories or custom prompt-based categories. It also supports calibration, review disputes, and coaching. Price conflict to note: some guides report 35 dollars as the standalone price, while others report that Zendesk publishes only the 50 dollar bundle price.
What we like- AutoQA scores 100 percent of interactions, including chats and AI agent conversations, with built-in categories for tone, empathy, and solution, plus Spotlight flags for churn risk and escalations
Watch out for- It requires a Zendesk Support or Suite plan underneath, so teams on another helpdesk face a platform switch, and the standalone price is not published on the vendor pricing page
#3
Playvox by NiCE
Best for: Teams that want QA, workforce scheduling, and coaching bundled in one suite
Visit playvox.com
Starting priceQuote, vendor does not publish a price; third-party reported tiers of 25 dollars, 35 dollars, and 45 dollars per user per month, with one-time onboarding fees reported at 3,000, 5,000, and 7,000 dollars
Free planNo
Playvox was acquired by NiCE in 2024 and is now sold as Playvox by NiCE. Its quality management covers chat, email, voice, and social media. For live chat teams, the draw is the bundle. The homepage at playvox.com, checked 14 Nov 2026, loads but shows only a login form. Price conflict to note: one third-party source lists tiers at 25, 35, and 45 dollars per user per month, while another lists a flat starting figure of 30 dollars per month. Neither figure comes from a current vendor price page.
What we like- Combines customizable scorecards, calibration, coaching, gamification, and workforce management, and connects to Zendesk, Salesforce, and Intercom
Watch out for- The Playvox homepage now loads only as a login portal, with no public marketing or pricing page, and the product is now sold through NiCE, so buyers must price it against NiCE CXone quality management from the same company
#4EvaluAgent
Best for: Mid-size teams that want published per-user pricing and coaching-led QA4.5/5 on
G2 (448 reviews, checked Oct 2026)
Visit evaluagent.com
Starting price35 dollars per user per month for AutoQM and Improvement, and 65 dollars per user per month with Conversation Intelligence, checked Oct 2026 on the vendor pricing page
Free planNo, proof of concept after a demo
EvaluAgent is the clearest pick in this guide on price transparency. Its Auto-QM scores every conversation, with a scorecard builder that supports weighting and auto-fail logic. Calibration lets reviewers compare scores, and agents can challenge scores. The homepage, checked 14 Nov 2026, loads. Price conflict to note: G2 lists a Basic plan at 15 dollars per user per month, which conflicts with the vendor figure of 35 dollars.
What we like- Publishes per-user pricing, scores 100 percent of conversations across voice, chat, and email, and links scores to coaching, training modules, and gamification
Watch out for- Pricing is per seat, so cost grows with headcount even when chat volume stays flat, and there is no self-service trial, so buyers must go through a demo and proof of concept first
#5Observe.AI
Best for: Large contact centers that want AI QA, real-time assist, and conversation intelligence in one platform4.6/5 on
G2 (266 reviews, checked Oct 2026)
Visit observe.ai
Starting priceQuote, vendor does not publish a price; third-party reported figure from AWS Marketplace of about 69 dollars per agent per month for one module, with other reports putting full deployments at 60 to 120 dollars per agent per month
Free planNo
Observe.AI is an AI-native platform for contact centers, and its homepage, checked 14 Nov 2026, loads and describes AI agents that resolve chat and voice interactions, assist agents in real time, and evaluate every conversation. Auto QA scores 100 percent of interactions automatically. For live chat, the value is coverage at high volume. Price conflict to note: third-party estimates vary from about 69 dollars per agent per month for one module to 60,000 to 180,000 dollars per year for a 100-seat deployment.
What we like- Evaluates 100 percent of interactions, including chat, with automated QA, coaching, and real-time guidance, and is built for large enterprise deployments
Watch out for- It has a minimum seat level reported at 100 seats, with annual contracts and implementation fees, so small chat teams will find the sales cycle and the entry cost hard to justify
#6Level AI
Best for: AI-native contact centers that want QA, agent assist, and virtual agents from one vendor4.6/5 on
G2 (220 reviews, checked Oct 2026)
Visit thelevel.ai
Starting priceQuote, vendor does not publish a price; third-party reported range of 35 to 185 dollars per agent per month, depending on modules and volume
Free planNo
Level AI describes itself as an AI-native contact-center platform, and its homepage, checked 14 Nov 2026, loads and states that it analyzes and scores 100 percent of interactions across channels. Its QA product, QA-GPT, scores chats and bot conversations alongside human ones. Evaluator overrides can recalibrate future scoring. Bot chats and human chats are scored on the same standard. Price conflict to note: third-party reports give a wide range of 35 to 185 dollars per agent per month.
What we like- QA-GPT scores calls, chats, emails, and bot conversations against one scorecard, with real-time agent assist and Manager Assist for supervisors
Watch out for- It does not publish pricing, and its contact-center orientation makes it a heavy fit for small teams that live mainly in email and chat
#7ScorebuddyCX
Best for: Teams that want structured scorecards, AI auto-scoring, and a built-in learning module4.5/5 on
G2 (834 reviews, checked Oct 2026)
Visit scorebuddycx.com
Starting priceQuote, vendor publishes tier names only with no dollar amounts; third-party reported 24 dollars per user per month for Foundation, 32 dollars for Accelerate, and 41 dollars for Elite
Free planNo, 14-day free trial
Scorebuddy is now ScorebuddyCX, and scorebuddyqa.com redirects to scorebuddycx.com. The homepage, checked 14 Nov 2026, loads and describes AI-powered CX intelligence built by QA experts. It states auto-scoring of 100 percent of conversations. For live chat, a low score can route straight into a training course. Price conflict to note: the vendor page shows no dollar amounts, while G2 and GetApp report 24, 32, and 41 dollars per user per month. Older listings show 159 dollars per month.
What we like- Auto-scores 100 percent of conversations across voice, chat, and email, reviews chatbots with the same method as human agents, and assigns training from performance data through its integrated LMS
Watch out for- AI Auto Scoring is capped at 500 scores a month on Accelerate and 1,000 on Elite, so full AI coverage at high chat volume depends on buying extra credits, and AI voice transcription and the open API sit on the Elite tier
#8
Kustomer AI QA
Best for: Kustomer teams that want chat QA scored inside the customer timeline, with no separate QA tool
Visit kustomer.com
Starting priceQuote, vendor does not publish platform seat prices; third-party reported 89 dollars per user per month for Enterprise and 139 dollars for Ultimate, plus AI for Customers at 0.60 dollars per engaged conversation and AI for Reps at 40 dollars per user per month
Free planNo
Kustomer launched Conversation Intelligence and AI QA in October 2026, as native capabilities built on AI Attributes. AI QA scores every conversation against criteria the business defines, with reasoning attached to every score. For live chat, the score sits in the same customer timeline as the chat. Price conflict to note: third-party trackers report 89 dollars and 139 dollars per user per month, with an 8-seat minimum.
What we like- AI QA scores every conversation against buyer-defined criteria, with adjustable weights and auto-fail logic, and the score reasoning is shown so managers can coach from it
Watch out for- It is a new native capability inside a full CRM platform, so teams that do not use Kustomer as their helpdesk cannot buy the QA feature on its own, and platform seat prices are not published
Frequently asked questions
What is the best software for monitoring live chat quality
EvaluAgent is the best pick for most teams, because it publishes pricing from 35 dollars per user per month and links scores to coaching. Zendesk QA is the best pick for Zendesk teams, and Scorebuddy suits teams that want structured scorecards with a learning module.
How is live chat QA different from call QA
Live chat QA reads a written transcript, so it can check spelling, tone, link use, and policy steps. Call QA must transcribe speech first, and it also checks silence, hold time, and voice tone. Chat also allows an agent to handle more than one conversation at once. A tool built only for calls may miss chat-specific checks.
Can AI score every live chat, or only a sample
Some tools in this guide score every chat, including EvaluAgent, Zendesk QA, Observe.AI, Level AI, ScorebuddyCX, and Kustomer AI QA. Others use a mix, with AI scoring every chat and humans reviewing flagged chats. Full coverage helps a team find rare but serious errors. Sampling is cheaper, but it can miss a pattern in a small share of chats.
How much should a small team budget for live chat QA
A small team should budget from 35 dollars per user per month for EvaluAgent, or from 185 dollars per month for Rippit Starter. Most other tools are quote-only, so ask for a written quote for your exact seat count and chat volume. Add time for setup and calibration, because those costs often sit outside the subscription price.
What should a live chat scorecard include
A live chat scorecard should include greeting and tone, identity checks where needed, accuracy of the answer, policy compliance, use of approved links or macros, resolution, and closing. Each point should have a clear pass or fail test, so two reviewers reach the same score. Weight the points that matter most, such as accuracy and compliance, and add an auto-fail rule for serious errors. Review the scorecard each quarter, and update it when a policy, product, or chat workflow changes.
Sources we checked (18)
- https://rippit.com
- https://www.rippit.com/pricing
- https://www.kaizo.com/blog/maestroqa-is-now-rippit/
- https://www.zendesk.com/service/quality-assurance/
- https://www.eesel.ai/blog/zendesk-qa-quality-assurance
- https://www.nice.com/get-a-quote-for-playvox-by-nice-wfm
- https://toolradar.com/guides/best-customer-service-qa-software
- https://www.evaluagent.com
- https://www.intryc.com/blog/best-ai-qa-software-for-customer-support-2026-buyers-guide
- https://observe.ai
- https://www.cloudtalk.io/blog/observe-ai-pricing/
- https://thelevel.ai
- https://www.intryc.com/blog/best-ai-qa-software-for-customer-support-2026-buyers-guide
- https://www.scorebuddycx.com
- https://www.g2.com/products/scorebuddycx/pricing
- https://www.kustomer.com
- https://www.kustomer.com/resources/blog/introducing-conversation-intelligence-ai-qa/
- https://www.richpanel.com/compare/kustomer
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
Shihab Mia · Founder, Rankite
Shihab has 5+ years in B2B and SaaS SEO. He writes Rankite's software buying guides from pricing pages, documentation and public user reviews. More about Shihab.