unitQ

unitQ — AI-Driven User Feedback Intelligence is an analytics platform that helps product, engineering, and CX teams turn real-time user feedback into actionable insights. It aggregates feedback from hundreds of sources (social, support, reviews, surveys, usage data, etc.), translates across 100+ languages, and uses GenAI to categorize, summarize, and surface the root causes of user friction. The system emphasizes rapid detection, cross-team collaboration, and measurable outcomes like reduced churn, fewer support tickets, and faster issue resolution. It integrates with your existing tools (Slack, Microsoft Teams, Jira, and more) to bring alerts and insights directly into workflows, enabling data-driven decision making at scale.

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How to Use unitQ

1. Connect data sources. Link all feedback streams (social, support tickets, reviews, surveys, in-app telemetry, etc.).
2. Define teams and workflows. Assign roles for product, engineering, and CX; configure alerting and dashboards.
3. View AI-driven insights. See granular categories, sentiment trends, and root-c cause analysis across sources and languages.
4. Act on insights. Use AI alerts and integrations to triage issues, prioritize feature requests, and track impact on KPIs like churn and NPS.

Why it matters

• Get a 360° view of user feedback from 60+ sources in 100+ languages, automatically grouped into actionable categories.
• Detect issues earlier because end users often surface problems before internal teams do.
• Drive growth by aligning products and experiences with what users actually want.
• Real-time AI alerts help reduce time-to-fix and improve customer satisfaction.

Core Outcomes

• 50% decrease in user churn (examples shown in marketing)
• 40% reduction in support tickets
• 2x faster issue resolution time
• 100% increase in user retention
• Improved NPS and customer loyalty

Integrations & Ecosystem

• Slack, Microsoft Teams, Jira (and other tools) for alerting and workflow automation.
• Cross-functional collaboration between Product, Engineering, and CX teams.
• Enterprise-grade security and privacy controls to protect data.

Security & Compliance

• Enterprise security, privacy, and access controls designed to protect data across all sources and teams.
• Compliance-ready for organizational policies and data governance.

Who should use unitQ

• Product managers seeking user-driven feature prioritization.
• CX leaders monitoring satisfaction and support quality.
• Engineering teams tracking quality across releases.
• Marketing and leadership teams measuring the impact of product initiatives.

Quick Start Checklist

• Connect all relevant feedback sources
• Configure language and sentiment settings
• Set up AI-driven categories and root-cause taxonomy
• Enable real-time alerts in Slack/Teams/Jira
• Build dashboards for product, engineering, and CX

Safety and Best Practices

• Use insights to inform decisions ethically; avoid misusing user feedback or misrepresenting sentiment.
• Validate AI-driven classifications with human review when necessary.

What’s Included

• Unified ingestion of feedback from 60+ sources
• Multilingual support across 100+ languages
• AI-driven categorization and root-cause analysis
• Real-time AI alerts integrated with Slack, MS Teams, Jira, and more
• Cross-team collaboration for product, engineering, and CX
• Impact metrics: churn, retention, tickets, time to resolution, NPS
• Enterprise-grade security, privacy, and governance