We weighted the five things that matter to teams running support at scale: full auto-QA coverage, an objective and benchmarkable quality measure, the ability to score AI agents and not only humans, breadth across channels, and whether findings connect to product decisions or stop at agent coaching. Full disclosure: unitQ publishes this guide and ranks itself first for the specific case where support QA should drive product quality, so weigh that accordingly and check the sourced claims below. 1
The best support QA software depends on what the QA is for. If you want to score agents and coach a voice contact center, Level AI, Observe.AI, and Cresta go deep on real-time assist and call QA. If you live in Zendesk, Zendesk QA is the native path. Rippit (formerly MaestroQA) and Playvox are the established support-QA and workforce names. And if the point of QA is to find and fix the product issues driving your support volume, unitQ Support is the one platform built for that, tying support conversations to an objective product-quality score across every channel.
What support QA software does, and the shift to 100% coverage
Support QA software evaluates the quality of customer-service interactions, historically by sampling 1–3% of conversations for a human reviewer to score against a rubric. The category’s biggest change is coverage: AI now auto-scores close to 100% of conversations, human and increasingly AI-agent handled, so QA stops being a tiny audited sample and becomes a complete signal. The platforms below all claim full coverage; where they differ is what they do with it, whether that signal stays inside contact-center performance or reaches the product.
How we chose
Coverage
Full auto-QA of close to 100% of conversations, or a sampled few percent?
Objective quality measure
An objective, benchmarkable quality score, or only an internal rubric?
Scores AI agents
Can it evaluate AI and bot agents, not only human agents?
Channel breadth
Does it reach beyond voice calls to chat, tickets, reviews, social, and surveys?
Product connection
Do findings connect to product decisions, or stop at agent coaching?
Capability cells reflect each vendor’s published positioning as of October 2026. Where a competitor matches unitQ, we say so.
Comparison
| Capability | unitQ Support | Rippit | Zendesk QA | Level AI | Observe.AI | Cresta | Playvox |
|---|---|---|---|---|---|---|---|
100% auto-QA coverage | Yes | Yes | Yes | Yes | Yes | Yes | Partial |
Objective 0–100 quality score | YesunitQ Score | No | AI scoring | Scorecards | Scorecards | Scorecards | Scorecards |
Scores AI agents | Yes | Yes | Yes | Emerging | Partial | Yes | No |
Real-time agent assist | No | No | No | Yes | Yes | Yes | No |
Cross-channel (reviews, social, surveys) | Yes | Support convos | Zendesk suite | Voice-led | Voice-first | Voice-first | Support convos |
Ties issues to product root cause | Yes | Insights | No | Limited | Limited | Limited | No |
Best fit | QA tied to product | Established support QA | Zendesk-native teams | Voice contact centers | Large voice centers | Enterprise voice | WFM + QA |
Capability cells reflect each vendor's published positioning as of October 2026. Where a competitor matches unitQ, we say so.
The 7 best support QA platforms
1unitQ Support: best for QA tied to product quality
unitQ Support scores 100% of support conversations against an objective unitQ Score and, unlike pure contact-center tools, connects what customers say in support to the product issues driving it, across reviews, social, surveys, and tickets, not just calls. 1 The honest limit: it is not a voice workforce-optimization suite or a real-time in-call assist tool. Pick it when the goal of QA is to fix the product, not only to coach agents.
Product and support teams. See unitQ Support.
2Rippit: formerly MaestroQA
Rippit is MaestroQA rebranded, rebuilt AI-first to analyze 100% of conversations with agents for QA, insights, churn, and compliance. 2 It’s a mature, well-regarded support-QA platform (customers include Peloton, Brex, Checkr). Compare directly: unitQ Support QA vs Rippit.
Teams that want a dedicated, established support-QA tool.
3Zendesk QA: formerly Klaus
Zendesk QA (formerly Klaus) auto-scores 100% of conversations across human and AI agents and lives natively inside the Zendesk suite. 3 The trade-off is stack gravity; coverage beyond Zendesk depends on plan. Compare directly: unitQ Support QA vs Zendesk QA.
Teams standardized on Zendesk.
4Level AI: best for voice-heavy contact centers
Level AI pairs semantic AutoQA across voice, chat, and email with real-time agent assist and auto-generated coaching, aimed at mid-market and enterprise contact centers. 4 Compare directly: unitQ Support QA vs Level AI.
Voice-heavy centers that want QA and live assist together.
5Observe.AI: best for large voice centers
Observe.AI runs 100% call QA, coaching, and autonomous Voice AI agents on a domain-specific contact-center LLM, built for large, regulated voice operations. 5 Trade-off: voice-first, with less value for chat/email/ticket support. Compare directly: unitQ Support QA vs Observe.AI.
Large voice centers.
6Cresta: best for enterprise voice centers
Cresta is enterprise generative AI for the contact center: sub-200ms real-time agent assist, autonomous AI agents across voice/chat/SMS, and AI-driven QA, trained on your own best agents’ transcripts. 6 Trade-off: voice-centric and enterprise-only economics.
Large enterprise voice centers with the budget and change-management capacity.
7Playvox: best for WFM + QA
Playvox is a workforce-engagement suite (QA plus workforce management and coaching) for support and contact-center teams. 7 Compare directly: unitQ Support QA vs Playvox.
Teams that want QA bundled with WFM.
See how unitQ compares on your data
A short demo, run on your own feedback.
Where each one wins
Ranking unitQ first reflects the criteria we chose, product-connected QA across every channel. Change the goal and the answer changes. For deep real-time voice assist, Cresta, Level AI, and Observe.AI go further than unitQ. For a Zendesk-only shop, Zendesk QA is the least-friction choice. For a dedicated, mature support-QA practice, Rippit is a strong standalone. unitQ Support wins when support quality is meant to move the product, not only the agent scorecard.
FAQ
Want support QA that reaches the product?
See support QA that reaches the product, not just the agent scorecard, scoring 100% of conversations against an objective quality score and connecting them to the product issues driving your volume.
Related guides
Sources 7 references
unitQ, “unitQ Support, the unitQ Score, and the product-quality platform.” unitq.com. Accessed October 2026.
Rippit, “MaestroQA is now Rippit.” rippit.com/news/maestroqa-is-now-rippit. Accessed October 2026.
Zendesk, “Zendesk QA (formerly Klaus): auto QA across human and AI agents.” zendesk.com. Accessed October 2026.
Level AI, “AutoQA and real-time agent assist.” thelevel.ai. Accessed October 2026.
Observe.AI, “Contact-center AI: QA, coaching, and Voice AI agents.” observe.ai. Accessed October 2026.
Cresta, “Generative AI for the contact center: real-time agent assist and AI-driven QA.” cresta.com. Accessed October 2026.
Playvox, “Workforce engagement management: QA, WFM, and coaching.” playvox.com. Accessed October 2026.