unitQ

Claim Tool

Last updated: January 13, 2026

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What is unitQ?

unitQ is an AI-powered Voice-of-the-Customer platform that unifies support tickets, surveys, app reviews, social media, and product analytics into real‑time, actionable insights. With agentQ—the world’s first AI agent for customer insights—teams instantly categorize feedback into thousands of granular dimensions, detect anomalies, trigger alerts, and correlate sentiment to KPIs to prioritize fixes and features that reduce churn, boost retention, and elevate product quality.

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Customer Support

unitQ's Top Features

Multi-layer AI classification into thousands of granular, customizable dimensions (e.g., SKU, device, locale, loyalty tier) without retraining

agentQ natural-language querying with source-grounded responses, recommendations, and links

Real-time anomaly detection and spike alerts via Slack, Jira, PagerDuty, and Microsoft Teams

Centralized feedback ingestion from support tickets, app stores, social media, surveys, and product analytics

100+ language translation and multilingual sentiment support

unitQ Score for measuring product health, retention and revenue impact, and sentiment

Real-time dashboards, advanced search, trend detection, and KPI correlations (including Amplitude integration)

End-to-end automation to auto-create tickets, trigger incidents, generate AI summaries, and route issues to teams

Enterprise-grade security with automatic PII redaction and verifiable, cited insights

Metadata enrichment and segmentation by device type, customer tier, locale, and more

Competitor benchmarking for context on product quality and customer sentiment

Source-grounded AI insights with citations for verification

Frequently asked questions about unitQ

unitQ's pricing

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    Use Cases

    Product Manager

    Prioritize roadmap and feature requests by correlating feedback volume, severity, and revenue impact.

    Support Operations Lead

    Reduce ticket volume by identifying root causes and automating routing and summaries to Zendesk or Jira.

    Engineering Manager

    Triage bugs based on business impact and user segments, with auto-created Jira issues and linked evidence.

    QA Lead

    Monitor post-release regressions with anomaly detection and spike alerts across devices and app versions.

    Growth/Retention Manager

    Spot churn drivers by segment (locale, device, tier) and take actions that improve activation and retention.

    Customer Experience Leader

    Track sentiment shifts across channels and languages to improve CSAT and reduce escalations.

    Data Analyst

    Correlate unitQ categories and trends with product analytics (e.g., Amplitude) to quantify KPI impact.

    Head of Product/VP

    Track unitQ Score, benchmark competitors, and align teams on the highest-impact product quality initiatives.

    Localization/Regional Lead

    Surface locale-specific issues using built-in translation and metadata like language and region.

    Ecommerce/Marketplace Ops

    Identify SKU- or merchant-specific quality issues using multi-layer classification and cohort filters.

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