Ticket-type distribution, regional hotspots, team productivity, customer satisfaction and SLA attainment — every service metric visualized. Issue root-cause, trend forecasting and KPI reviews, all in one place.
Not just PPT reports — a dynamic, drill-downable service analytics cockpit
View ticket-volume trends by day / week / month, spot peak-and-trough patterns, and schedule manpower sensibly
Pie charts of each ticket type's share, identifying high-frequency issue types for targeted product / training optimization
Ticket-density heatmaps by city / province, pinpointing weak service areas
Compare each team's / individual's ticket count and average handling time for fair KPI assessment
Customer satisfaction 5-star score trends, identifying where service quality dips
Tiered statistics of response / resolution SLA attainment, with drill-down into breached-ticket details
Ticket Volume · Last 6 Weeks
For a manager's weekly meeting, rather than listening to reports, open the ticket analytics dashboard: which issue type spiked this week? Which team's productivity dropped? Which customers' satisfaction keeps declining? Data speaks, decisions are grounded.
From the customer's angle: which customer has the most tickets? Whose satisfaction keeps declining? Whose tickets are often timing out? Service experience data helps CSMs go on the offensive.
Run weekly meetings with the ticket analytics cockpit, seeing team productivity / customer satisfaction in one screen.
Review the high-frequency issue distribution to find that one module accounts for 40% of complaints, driving R&D prioritization.
Review daily ticket peak periods and adjust support shifts to staff up during peaks.
Analyze SLA attainment at month-end, review each breached ticket's cause, and set improvement measures.
Turn service quality from gut feeling into a quantifiable, optimizable metric