Qvasa for Zendesk

Staffing Projections: Accurate staffing forecasts powered by machine learning.

Slack & SMS Integration: Real-time alerts delivered directly to Slack or via SMS.

AI Tagging: Sophisticated auto-tagging with generative and fixed response capabilities.

1. Live Dashboards

Monitor Support Demand: Real-time views of chat metrics and ticket volumes to proactively manage spikes in demand.

Agent Productivity Tracking: Track agent performance metrics live, allowing for immediate response to any drop in efficiency.

Deep Data Analysis: Use AI-generated filters to uncover trends and patterns in customer interactions across channels.

Cross-Channel Insights: Integrate with Zendesk Messaging and Talk to monitor conversations across all customer touchpoints.

2. Alerting & Monitoring

Proactive Issue Identification: Set alerts for ticket volume surges or wait times to prevent service delays.

Targeted Notifications: Customize alerts for specific teams or organizations, ensuring relevant stakeholders are promptly informed.

Channel-Based Notifications: Get alerts via email, Slack, or SMS, making it easy to stay updated on support dynamics anytime, anywhere.

Historical Alert Analysis: Use alert history to understand recurring issues and improve operational response times.

3. AI Analytics

Auto-Tagging Contact Reasons: Automatically categorize tickets based on the reason for contact, allowing efficient triage and prioritization.

Emerging Issue Detection: Identify new customer concerns in real-time to address potential product or service issues swiftly.

Inferred CSAT Analysis: Predict customer satisfaction (CSAT) levels based on ticket content without explicit customer feedback. This inferred CSAT provides insight into customer sentiment across interactions, helping you to understand and improve service quality even when CSAT scores are unavailable.

Comprehensive Issue Insights: Leverage AI summaries to gain a snapshot of prevalent issues and track shifts in customer contact reasons.

Strategic Trend Analysis: Use AI to forecast potential support needs and refine support strategies based on customer behavior patterns.

4. Messaging Integration

Real-Time Chat Monitoring: Track conversation quality and agent performance in live chats, identifying areas for improvement.

Messaging Efficiency Insights: Assess KPIs such as response times and customer satisfaction specific to live chat to boost operational efficiency.

Multi-Channel Messaging View: Monitor all messaging platforms from a unified dashboard to streamline and manage omnichannel support.

Customer Satisfaction Tracking: Analyze customer feedback in live chats to improve the quality of service in real time.

5. Agent Performance Monitoring

Measure Individual Agent Impact: Monitor key metrics like message quality and resolution times to identify top and underperforming agents.

Analyze Work Patterns: Gain insights into agent activity, including break times and ticket handling rates, for improved resource planning.

Customer Experience Impact: Link agent performance data to customer satisfaction metrics, enhancing support strategies.

In-Depth KPI Analysis: Track detailed live chat KPIs to understand how each agent influences overall team performance.

6. Sunco Integration

Complete Bot Interaction Tracking: Capture data on bot conversations, including those that don't escalate, to improve self-serve rates.

Deflection Rate Measurement: Track bot effectiveness in resolving issues without human intervention, enhancing bot quality.

Customer Self-Service Optimization: Use insights from bot interactions to identify common inquiries and create efficient self-serve options.

Bot Conversation Analytics: Review historical bot interactions to refine responses and increase bot efficiency over time.

7. Bot Analytics

Deflection Efficiency Analysis: Understand both deflected and undeflected bot conversations to maximize bot effectiveness.

Bot Performance Optimization: Leverage real-time insights into bot interactions to continually improve response accuracy.

Self-Serve Improvement: Measure and boost self-serve rates by addressing customer inquiries through bots before they escalate to tickets.

Feedback Loop for Bots: Create a continuous feedback loop using analytics to refine and enhance bot responses based on customer interactions.

Qvasa: Your Comprehensive Support Solution

Qvasa is more than a tool; it's a strategic asset for transforming customer support. With live dashboards, AI-powered insights, Sunco integration, and comprehensive analytics, empower your team to deliver exceptional service backed by data-driven decisions. Utilize our volume forecasts and staffing forecast capabilities to manage your workforce efficiently and reduce costs.

Transform your support operations with our advanced analytics and insights. Install now to experience a new level of efficiency and customer satisfaction.

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