unitQ
AI SUPPORT QA

Elevate every support interaction with AI

One unbiased view of every support interaction across humans and AI. Know what’s working, what’s breaking, and what’s driving your outcomes.

Trusted by the teams behind the world's best products

100%
Interaction coverage
95%
Reduction in manual QA

unitQ Support QA automates QA with AI

Unbiased AI QA across every support interaction — human or automated — with real-time insights and complete visibility.

01 — VISIBILITY

Get full visibility into every support conversation

unitQ Support QA uses AI to ingest and analyze signals from voice, chat, email, messaging, IVR, bots, and more — connecting with your ticketing and CRM platforms to surface trends, gaps, and opportunities hidden in every conversation.

02 — SCORECARDS

Create custom scorecards for agents and bots

Build scorecards with dimensions like empathy, tone, compliance, deflection accuracy, and handoff quality. Bots get independent audits. Agents get clear coaching targets. Every conversation scored in real time.

03 — PROCESS ADHERENCE

See where your support process breaks down

Monitor every interaction for missed steps — a skipped discount offer for an at-risk customer, a forgotten identity verification, an escalation that never happened. See exactly where the process breaks and who needs coaching.

04 — KPI IMPACT

Understand what drives your KPIs with AI

AI maps every behavior to business outcomes in real time, for agents and bots alike. Know which steps drive retention, which gaps cause churn, and where improvements will have the biggest impact.

Frequently asked questions

What is unitQ Support QA?

unitQ Support QA is unitQ’s AI-powered support QA platform. It analyzes 100% of support interactions — human agents, chatbots, and AI — for unbiased quality intelligence.

How is it different from sample-based QA?

It analyzes every conversation, not just 2% — eliminating blind spots and catching issues traditional QA misses across all channels.

Can it evaluate chatbot performance?

Yes — independently of the bot platform’s own reporting. It detects failed intents, fallback loops, incomplete handoffs, and true deflection accuracy.