Analytics Dashboard
This guide walks you through each section of the Hello Analytics Dashboard, helping you interpret insights, make decisions, and monitor support performance effectively.
1. 🎯 Active Tickets
This section shows the total number of support tickets that are currently unresolved. It gives a real-time view of the active workload.
You can view how many tickets are assigned to individual agents, bots, or teams. Tickets not assigned to anyone are marked as "Unassigned." The total ticket count helps managers quickly assess how much work is pending and whether the current support team size is sufficient.
What you can analyze:
Overall ticket backlog
Team and bot efficiency
Unassigned ticket volume indicating possible gaps in workflow
2. 🌐 Ticket Distribution by Channel
This section helps you understand which communication channels your customers are using to raise tickets. It includes all ticket statuses—open, closed, spam, or snoozed.
What you can analyze:
Volume of tickets from each channel (like WhatsApp, Email, Facebook, etc.)
Preferred channels among users
Where to focus support resources (e.g., if most tickets come from chat or WhatsApp)
3. 👨💼 Ticket Assigned to Agent
This section allows you to view how tickets have been distributed among agents and teams over time.
Use the filter to drill down into specific agents or teams. This helps monitor workload and identify if certain agents are over- or under-utilized.
What you can analyze:
Agent-wise or team-wise ticket allocation trends
Workload balance and reassignment needs
Historical performance monitoring
4. 📥 Ticket Received by Inbox
This section offers a breakdown of tickets received across different inboxes and channel types over the last 30 days by default.
You can filter inboxes to understand how specific teams or departments are managing their tickets and which inboxes receive the highest volume.
What you can analyze:
Ticket inflow per department or channel
Inbox-specific trends
Need for inbox/channel optimization
5. 🏆 Top Performer
This section showcases the most efficient agents or teams based on the number of tickets closed within a selected time range.
Using the custom date filter, you can evaluate performance for a specific time period, helping identify and reward high-performing agents or teams.
What you can analyze:
Most productive support agents or teams
Time-bound performance comparisons
Basis for appraisals and incentive decisions
6. 🤖 ChatBot Involvement in Ticket Resolution
This section highlights how well your chatbot is helping resolve customer tickets.
It shows total tickets involving bots, how many were resolved by bots without human help (resolution rate), and how many required agent takeover (fallback rate). This includes all chatbot types—LEX, ChatGPT, MSG91.
What you can analyze:
Chatbot effectiveness in first-level query resolution
Volume of human handovers required
Opportunities to improve chatbot workflows
7. 📊 Peak Day Analytics
This section displays the number of new tickets generated each day. It helps you identify patterns and predict when support demand is highest.
With date filters, you can analyze trends over different time periods and plan staffing accordingly.
What you can analyze:
Ticket creation trends by date
High-load periods to plan team availability
Impact of campaigns or incidents on support traffic
Use this dashboard as your control center to monitor, optimize, and drive performance across all support functions within Hello.