Transform your ITSM ticket data into actionable intelligence — upload any export file and get a full analytics dashboard instantly.

📈
Full Volume Analysis
Daily, weekly, monthly & hourly trends with created vs resolved tracking
👤
Technician Performance
Per-agent metrics — assigned, resolved, overdue rate, avg resolution time
⏱️
MTTR & SLA Tracking
Mean time to resolve, SLA compliance rate & overdue analysis by priority
🤖
AI-Powered Insights
Anomaly detection, smart recommendations & natural language Q&A
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Overview
From
To

Overview

🎫
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Total Tickets
✅
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Closed
🔴
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Open / Pending
⚠️
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Overdue
⏱️
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Avg Resolution
👥
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Active Technicians
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Groups
Status Distribution
Priority Breakdown
Monthly Volume Trend
Group Distribution
Open Ticket Age Summary
Age Bucket Wise Closed / Resolved

Volume Trends

Ticket creation and resolution patterns across time periods

Monthly Volume
Monthly Status Stack
Month-over-Month Growth
Weekly Volume
Weekly Status Stack
Daily Created
Tickets raised per day
Daily Resolved
Tickets closed/resolved per day
Hourly Distribution
Peak hours shown in red
Day of Week
Total tickets by weekday

MTTR / Resolution

Mean Time to Resolve across months, technicians, and priorities

⏱️
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Overall MTTR (days)
🏃
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Fastest Resolution
🐢
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Slowest Resolution
🎯
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SLA Compliance
Monthly MTTR Trend
Average resolution time (days) per month
MTTR by Technician
Avg resolution days
MTTR by Priority
Resolution time per priority level

Category Analysis

Ticket distribution across categories and subcategories

Top 5 Categories
Subcategory Breakdown
Category Summary Table
Top Recurring Issues
Issue & Resolution Details

Technician Performance

Individual agent metrics, resolution efficiency, and workload

Efficiency Metrics
Tickets Assigned vs Resolved
Top 12 technicians
Overdue Rate by Technician
% tickets that breached SLA
Technician Table
Top 10 technicians by ticket volume

Status Analysis

Open, closed, and pending distribution across all dimensions

Status Distribution
All raw statuses
Open / Closed / Pending
3-state simplified view
Tech Level Distribution
Tickets by support tier
Status by Top Category
Open / Closed / Pending per top 10 categories
Monthly Open vs Closed
Status evolution month by month

Heatmap Analysis

Operational patterns and workload density visualisation

Day × Hour Heatmap
Tickets by day of week and hour — hover for count
Technician Workload
Tickets per technician per month
Category Density
Top category volumes per month

🤖 AI Intelligence

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📋
Executive Summary
AI-generated board-level summary — KPIs, trends, risk areas and recommendations
Ready to generate
🔍
Root Cause Analysis
AI-detected root cause patterns from enriched ticket data — trends by category and technician
Ready to analyse
✅
Resolution Analysis
Resolution type effectiveness, permanent fix vs workaround breakdown, and complexity insights
Ready to analyse
🔁
Recurring Issue Detection
Issues that keep re-appearing — frequency patterns, categories and impact severity
Ready to detect
👤
Technician Intelligence
Deep per-agent profiles — strengths, SLA risk, workload balance and specialisations
Ready to profile
💬
SLA breach causes Top performers Category priorities Monthly trends Recurring issues Health score Best resolver Predict next month
👋 Hey! I'm Nex — I've had a look through your ticket data. What would you like to dig into?

🤖 AI Assistant
Hi! Ask me anything about your ticket data — SLA, performance, trends, categories.
Team health Overdue risk Top category