Customer feedback monitoring
unitQ Monitor categorizes feedback, analyzes sentiment, and provides alerts, reports, and dashboards. It turns incoming customer comments into trackable product quality issues.
unitQ
Freemium
AI analysis of customer feedback, support conversations, and business signals for product quality decisions.
What is unitQ?
unitQ is a customer quality intelligence platform for product, engineering, support, customer experience, and marketing teams. It brings feedback from support tickets, reviews, surveys, and social channels into a shared view, using AI to categorize issues and sentiment so teams can investigate recurring problems and prioritize improvements.
Its suite includes feedback monitoring, business-impact analysis, competitor research, support quality assurance, AI-moderated interviews, and social listening. Impact analysis connects feedback with supplied behavioral and operational data, while social tools draft replies for a team to review and refine. The modules support human decisions about product quality and customer engagement; they do not guarantee revenue, retention, or compliance outcomes.
What can unitQ do?
Business impact analysis
unitQ Impact connects feedback with product usage, purchases, engagement, system events, and workflow outcomes. It ranks trending issues by business-KPI impact and supports cohort analysis.
Competitive intelligence
unitQ Compete analyzes public competitor feedback from app stores, reviews, and social platforms. It benchmarks quality and identifies friction by region, feature, and experience.
Support quality assurance
unitQ Support QA scores human-agent and bot conversations to surface coaching opportunities and potential quality or compliance issues for a support team to examine.
AI customer interviews
unitQ Research runs AI-moderated interviews at scale to collect continuous, structured customer feedback.
Social listening and replies
unitQ Social groups mentions and conversations by topic, sentiment, and severity. It drafts replies using customer context, conversation history, and brand voice; teams review, refine, and respond.
Use Cases
“Investigate problems after a release”
Product and engineering teams can review emerging complaints, validate releases against user feedback, and connect reported problems to system failures for root cause analysis.
“Prioritize retention work”
Customer experience teams can identify where customers disengage and focus on at-risk accounts with the greatest exposure, using revenue and retention context to guide improvements.
“Coordinate quality decisions across departments”
Support, product, engineering, and marketing teams can use shared feedback reports and the unitQ Score to quantify issues and agree on product quality priorities.
“Gather structured research and social feedback”
Use AI-moderated interviews and grouped social conversations to collect customer perspectives, then review those findings alongside product and support signals.
Frequently Asked Questions
Which feedback sources does unitQ connect to?
unitQ lists over 100 feedback channels and integrations, including Zendesk, Salesforce, app stores, social platforms, and Slack. Supported signal types include support tickets, reviews, surveys, call transcripts, and in-app feedback.
Can teams analyze results for different customer cohorts?
unitQ Impact supports examining expansion and churn by cohort, helping product teams understand how customer experiences relate to business outcomes for different groups.
Does unitQ handle feedback in multiple languages?
The official DailyPay customer story describes unitQ Monitor translating collected feedback into English and consolidating it across DailyPay's iOS, Android, web, and other user channels.
How can an organization evaluate unitQ?
The website offers a demo request. The unitQ Impact and unitQ Social pages also offer product tours.
Does unitQ Social send replies without review?
unitQ Social generates reply suggestions using conversation history and brand voice. Teams review, refine, and respond.
Quick Facts
- Product type
- AI customer quality intelligence platform
- Inputs
- Customer feedback, conversations, and behavioral or operational data
- Outputs
- Issue categories, alerts, reports, impact analysis, and suggested social replies
- Primary teams
- Product, engineering, support, customer experience, and marketing
- Evaluation
- Product demonstration; Impact and Social product tours
- Review boundary
- Human investigation, quality decisions, and social reply review
unitQ Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 51
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