Automate 100% Ticket Analytics for Better Insights
Automate 100% ticket analytics with evidence-backed traceability to capture all signals and enhance decision-making. Eliminate bias from sampling by linking metrics directly to real conversations, ensuring trust and actionable insights.
Support-Conversation Churn Detection: 7 Key Signals
Detect churn risk through support conversations by identifying seven key signals. Analyze 100% of tickets for actionable insights, allowing teams to respond quickly and effectively to prevent account loss.
Triage & Close Churn-Risk Tickets in 48 Hours
To effectively combat churn-risk, implement a 48-hour workflow with clear ownership and verification. Use helpdesk actions and analytics for prioritization, ensuring every decision is backed by evidence to drive swift resolutions and reduce churn.
Turn Sentiment Labels into Action: A Proven Pipeline
Sentiment labels signal issues but lack clarity on solutions. By building a structured pipeline to connect sentiment to drivers and supporting quotes, teams can transform insights into actionable plans, accelerating decision-making and driving effective fixes.
Canonical Tagging Playbook: 7 Steps to Effective Cleanup
Transform tagging from a one-time fix to a sustainable system with evidence-based governance. Use raw tags for discovery, canonical tags for clarity, and ensure every metric links to real tickets for effective prioritization and resourcing.
Turn Support Tickets into Prioritized Fixes Effectively
Transform support tickets into prioritized fixes by processing 100% of conversations and linking metrics to real quotes. This evidence-backed approach helps identify root causes and drive actionable insights, ensuring faster decision-making and improved customer experience.
