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Enterprise Layer Intelligence
Categories/Product Management/unitQ
unitQ

unitQ

Founded 2018

Analyze customer feedback and support conversations across channels to fix product issues faster

Pricing model

Demo

You can use unitQ to aggregate and analyze customer feedback from multiple communication channels in real time. It continuously monitors support tickets, app store reviews, social media mentions, and user surveys in over one hundred languages. The system automatically categorizes user issues, alerts engineering teams to sudden spikes in software bugs, and scores agent conversations for quality assurance. Product managers and executives can track how specific fixes impact retention and revenue, while built-in market comparison features allow you to benchmark user feedback against rival products.

What unitQ does

Ingest customer feedback from support tickets and review sitesCategorize user complaints automatically by feature and severityScore customer support agent responses for quality complianceGenerate real-time alerts for product bugs and regressionsAnalyze public competitor app reviews and social mentionsExport feedback metrics and trends into Snowflake or AmplitudeAggregates customer feedback across 100+ channels and 100+ languagesAutomatically categorizes and alerts teams to recurring product bugsScores support agent and chatbot conversations for quality assuranceMonitors social media conversations and drafts suggested repliesTracks competitor feedback and benchmarks quality across public reviewsConducts automated conversational research interviews with usersConnects customer issues directly to revenue and retention metrics

Pricing breakdown

Pricing model: Book a demo

Frequently asked

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unitQ, customer intelligence, product feedback, support ticket analysis, app store reviews, sentiment analysis, quality assurance, bug tracking, customer insights, churn prevention, user feedback aggregation, competitor benchmarking, support QA, automated user interviews, feedback analytics