Unified signal collection
Continuously ingests feedback from support tickets, reviews, surveys, calls, social posts, and community channels, then organizes it into a single real-time view.
unitQ
RivendicaunitQ is an AI customer intelligence platform that unifies feedback from support, product, social, and research channels into real-time insights for teams.
AI customer intelligence for quality monitoring
unitQ is an AI customer intelligence platform focused on quality monitoring across the customer journey. It unifies feedback from public and private channels, analyzes it in real time, and organizes it into actionable insight for teams that need to respond before customer issues affect KPIs.
The product suite is presented as six purpose-built modules, including monitorQ, metricQ, competeQ, supportQ, interviewQ, and socialQ. Across those modules, unitQ aims to give product, engineering, support, and leadership teams one system of record for customer signals, business impact, and follow-up action.
Core capabilities
Real-time issue monitoring
Uses AI to categorize and surface issues, patterns, and friction as they emerge so teams can respond before problems spread.
Business impact analysis
Links customer feedback to metrics such as revenue, retention, engagement, and risk, helping teams prioritize based on business impact.
Competitive intelligence
Benchmarks public competitor feedback across app stores, reviews, and social channels to reveal market friction and quality gaps.
Support QA automation
Scores human agent, bot, and workflow interactions across support conversations to surface coaching opportunities and compliance risks.
AI interview research
Runs AI-moderated interviews to collect structured customer feedback at scale and support research workflows.
Common ways teams use unitQ
Monitor product quality in real time
Product teams can watch support tickets, app reviews, surveys, and social feedback in one place to spot recurring issues and prioritize fixes by impact rather than anecdote.
Automate support QA
Support operations teams can score agent and bot conversations, surface coaching opportunities, and identify compliance or response-quality risks across every interaction.
Scale customer research
Research and product teams can run AI-moderated interviews to collect structured feedback from a defined cohort without relying only on one-off manual sessions.
Track competitor friction
Competitive and strategy teams can analyze public feedback about rival products to see where competitors frustrate users and where the market expects improvement.
Tie customer signals to business decisions
CX and executive teams can connect feedback to revenue, retention, engagement, and risk to make prioritization discussions more grounded in measurable outcomes.
Pros and Cons
Pros
- Covers both public and private customer signals in one platform.
- Connects qualitative feedback to business outcomes instead of leaving insights as isolated comments.
- Includes multiple workflow-specific modules for monitoring, support QA, research, social listening, and competitive analysis.
- Shows integration coverage across support, analytics, monitoring, social, surveys, and data-upload tools.
- Emphasizes real-time analysis rather than periodic reporting.
Cons
- The supplied pricing content does not expose published plan details, so buyers may need to contact the company for current pricing information.
- The source material is strong on platform positioning and integration breadth, but it does not provide full implementation steps or configuration depth.
FAQ
What is unitQ?
unitQ is positioned as an AI customer intelligence platform. The site describes it as a way to unify customer signals, analyze them in real time, and turn them into actionable insight for product, engineering, support, and leadership teams.
How does unitQ work?
The platform is built around continuously ingesting customer feedback from many channels, categorizing it with AI, and connecting it to business outcomes so teams can monitor quality, prioritize issues, and act faster.
What data sources can unitQ integrate with?
The site shows unitQ connecting to feedback channels and everyday tools such as Zendesk, Salesforce, app stores, social platforms, Slack, Amplitude, Datadog, and Zapier, with more than 100 feedback channels referenced on the homepage.
What does unitQ pricing look like?
The pricing page does not show public plan details in the supplied content. It only routes back to the site and does not expose published prices or tiers here.
Who uses unitQ and how quickly can teams get started?
The source suggests unitQ is used by product, engineering, customer experience, support, and executive teams, but it does not provide a complete setup guide or a step-by-step onboarding workflow in the supplied text.
Quick Facts
- Category
- AI customer intelligence
- Platform type
- Web platform with modular products
- Primary users
- Product, engineering, support, CX, and leadership teams
- Pricing
- Not publicly detailed in the supplied pricing page content
- Integrations
- 100+ feedback channels referenced; examples include Zendesk, Salesforce, Amplitude, Datadog, X, Zapier, and Slack
- Website
- unitq.com