Transform scattered customer feedback into actionable insights with AI. Aggregate data from support tickets, social media, app reviews, and analytics to identify issues instantly. Drive product innovation and improve customer experience with real-time alerts and root cause analysis.




Your customers are talking about your product every day—through support tickets, social media posts, app store reviews, and in-app feedback. But here's the reality: this valuable information lives in scattered silos across dozens of platforms, making it nearly impossible to see the full picture. By the time you identify a recurring issue, hundreds of other customers have likely experienced the same problem. You're always reacting, never anticipating.
This is exactly the challenge that unitQ was built to solve. unitQ is an AI-powered real-time customer insights platform that automatically transforms fragmented multi-channel customer feedback into actionable intelligence. Instead of manually sorting through thousands of support tickets or trying to spot trends in app reviews, you get a unified system that captures, categorizes, and analyzes customer voices the moment they appear.
What sets unitQ apart is its hybrid approach—combining advanced AI agents with expert human oversight. This ensures the accuracy and context that pure automated systems often miss. The platform aggregates both private data (support conversations, internal analytics) and public data (social media mentions, app store reviews) into a single source of truth. Every piece of feedback is then classified using customizable multi-tier taxonomies, tagged by source, type, issue, or request, and routed to the right teams automatically.
unitQ isn't just another feedback collection tool. It's trusted by industry leaders including PayPal, Pinterest, Uber, Zendesk, Block (Square), Bumble, Udemy, Upwork, DailyPay, and DraftKings. These companies rely on unitQ to transform how they understand their customers and make product decisions.
You don't need more data—you need better insights, faster. Here's how unitQ transforms raw customer feedback into decisions your team can act on immediately.
Imagine asking your data questions in plain English and getting instant, verified answers. That's agentQ. You can ask "Did our latest release introduce any new issues?" or "How can we improve retention for our Japanese users?" and receive detailed responses backed by citations from actual customer conversations. agentQ understands your business context deeply because it operates on cleaned, translated, and finely categorized data. Every insight is verifiable—you click to validate the customer voice behind any conclusion.
Customer feedback lives everywhere—Zendesk tickets, Intercom chats, Twitter mentions, App Store reviews, product analytics events. unitQ brings all these voices together into one platform. You stop toggling between dashboards and start seeing the complete customer story. This isn't just convenient; it's transformational for teams that previously spent hours manually compiling reports.
The platform uses custom multi-tier taxonomies to classify every piece of feedback. AI agents review each input and tag it by source, type, problem category, or request. Here's what makes this powerful: these categorizations can write back to your support or engineering ticket systems, enabling skill-based routing and faster resolution times. Your team stops playing detective and starts solving problems.
When issues emerge, speed matters. unitQ's one-click root cause analysis identifies common patterns across affected users—behavioral, demographic, or environmental. It generates reproducible steps and pinpoints the exact configuration or environment causing the problem. Engineering teams report cutting bug investigation time in half.
Set up alerts for specific categories, and unitQ will notify you the moment feedback spikes beyond normal thresholds. These alerts go directly to Slack, Microsoft Teams, or PagerDuty. You find out about problems from your dashboard, not from angry customers on social media.
This is where unitQ moves beyond insights to strategy. The AI simulates how resolving specific customer-identified issues would improve key metrics—CSAT scores, NPS, even ARR. You prioritize your roadmap based on projected business impact, not gut feeling. You're no longer guessing which features will drive growth; you have data showing exactly which problems, if solved, would reduce churn and increase satisfaction.
unitQ automatically monitors public channels—App Store reviews, Reddit, X (formerly Twitter), comparison sites—for mentions of your competitors. You gain market insights without manual research. Understand where competitors are winning, where they're failing, and what opportunities exist for your product.
Create dynamic, real-time visualizations that reflect your business. Build charts and dashboards that update automatically as new feedback arrives. Share these with stakeholders to keep everyone aligned on customer priorities.
unitQ serves teams across the organization. Here's how different roles apply the platform to solve real business challenges.
You're tasked with connecting what customers say with what they actually do. unitQ bridges this gap by linking feedback data with behavioral analytics. You make data-driven product decisions, prioritizing features that will drive growth and reduce churn. The impact analysis feature shows you exactly which problems, if solved, would move the needle on retention and revenue. You're no longer building based on assumptions—you're building based on verified customer needs.
You need to monitor customer health continuously, not just during quarterly surveys. unitQ turns your entire customer base into a 24/7 testing team. Issues are detected in real-time, often before customers even submit formal complaints. Teams using unitQ have reported cutting repair time in half. You shift from reactive firefighting to proactive problem prevention.
Your goal is to deliver exceptional support experiences, but improving when you don't understand the root causes is like navigating in the dark. unitQ provides the actionable insights and AI automation you need to transform support operations. One fintech client achieved a 35% reduction in support ticket volume after implementing unitQ—because problems were fixed at the source rather than accumulating. Your team handles fewer repetitive issues and focuses on complex cases that truly need human expertise.
When a bug report comes in, you need to isolate the cause quickly. unitQ's one-click root cause analysis identifies patterns across affected users and generates reproduction steps. You spend less time investigating and more time building. The categorization system also helps engineering understand which issues impact the most customers, enabling smarter sprint planning.
You need a unified view of customer sentiment across all touchpoints to set strategy. unitQ provides a single source of truth that aggregates feedback from every channel. You make strategic decisions backed by real KPI data—CSAT, NPS, churn rates—not just intuition.
Different roles benefit most from different features. Product managers should prioritize impact analysis and competitive intelligence. CX teams should focus on real-time alerts and dashboards. Support leaders benefit most from categorization and trend analysis. Engineering teams will find root cause analysis most valuable. Book a demo to explore which capabilities align with your specific goals.
When you're handling customer feedback data—much of it potentially sensitive—you need enterprise-grade security and compliance. unitQ delivers on both fronts.
unitQ's hybrid architecture combines AI agents with expert human oversight. Every data point goes through a rigorous pipeline: cleaning, translation (for multilingual feedback), and fine-grained classification. This ensures that insights aren't just fast—they're accurate and contextually rich. The AI understands nuance, detects sentiment, and identifies emerging patterns that simple keyword matching would miss.
The platform processes both private and public data. Private data includes support conversations, internal databases, and CRM information. Public data encompasses social media, app store reviews, forums, and news mentions. By combining both, you get a complete picture—internal sentiment trends plus external market perception.
The classification system is entirely customizable. You define the taxonomy that matches your business—product areas, issue types, request categories—and the AI adapts to your schema over time. This flexibility means unitQ grows with your organization, whether you're a startup or an enterprise with complex internal structures.
Enterprise customers trust unitQ with their most sensitive customer data. The platform maintains rigorous security certifications:
Infrastructure runs on AWS within US data centers, with optional fully on-premises deployment for organizations with strict data residency requirements. Sub-processors include Amazon Web Services, Google Cloud, and Microsoft Azure—you have visibility into where your data lives.
The proof is in the results. Here's what industry leaders say about transforming their customer insights with unitQ.
"The granularity and speed at which unitQ is able to deliver actionable customer insights is above and beyond what others could offer."
— Shawn Slipy, VP Global Renewals, Zendesk
"unitQ has been a game changer for our team."
— Robyn Andrews, Voice of the Customer Manager, Lime
Companies using unitQ consistently report measurable impact:
unitQ has earned recognition from leading industry authorities:
Companies like PayPal, Uber, Pinterest, and Zendesk don't make procurement decisions lightly. Their choice of unitQ reflects the platform's reliability, enterprise-grade capabilities, and proven ROI. When market leaders trust unitQ with their customer insights, you can be confident the platform scales to meet demanding requirements.
Traditional ticketing systems focus on processing and resolving individual customer requests. unitQ focuses on extracting trends, patterns, and actionable insights from the aggregate of all customer feedback. You still handle tickets—but now you understand which issues are systemic, which are growing, and which ones, if solved, would have the biggest business impact. It's the difference between managing a helpdesk and understanding your customers.
unitQ integrates with major support platforms (Zendesk, Intercom, Freshdesk), social media channels, app store review systems, product analytics tools (Amplitude, Mixpanel), and custom data sources via API. The platform also monitors public channels like Reddit, X, and review websites for competitive intelligence. If your data lives somewhere, unitQ can likely connect to it.
Your data is protected by enterprise-grade security including SOC 2 Type II certification, EU GDPR compliance, and ISO 27001/27017/27018 standards. The platform uses AWS infrastructure with optional on-premises deployment for organizations requiring strict data residency. You maintain full control over your data with transparent sub-processor disclosure.
unitQ pricing is customized based on your data volume, number of integrations, and team size. We don't believe in one-size-fits-all pricing because every organization's needs are different. Contact our sales team for a personalized quote. Demo sessions are available to help you explore the platform before committing.
Most integrations are completed within weeks, depending on the number and complexity of data sources. The unitQ team provides dedicated support throughout the onboarding process to ensure a smooth implementation. Your existing workflows and taxonomies are preserved and enhanced, not replaced.
Absolutely. unitQ supports fully customizable multi-tier taxonomies. You define the categories, subcategories, and tags that match your business logic. The AI learns from your classifications over time, improving accuracy. Whether you need a simple three-tier structure or a complex taxonomy with hundreds of categories, unitQ adapts to your needs.
Transform scattered customer feedback into actionable insights with AI. Aggregate data from support tickets, social media, app reviews, and analytics to identify issues instantly. Drive product innovation and improve customer experience with real-time alerts and root cause analysis.
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