Msg91 Help Doc
Hello Contact Center
Analytics Dashboard

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.


Here are the steps to check Hello Analytics:-


Step 1: Login to your MSG91 panel and click on "Hello".


Kb1690267078111179Sc


Step 2: Select the Analytics option from the sidebar.


Kb1690267306270898Sc



Below is a concise overview of Hello Analytics:-


 Feedback


It contains data related to the ratings received on tickets handled by your team through Live Chat or Email Inbox.

You can utilize various filters to sort conversation ratings based on Dates, Specific Users, Teams, Particular Inboxes, or a particular rating. 


However, it's important to note that WhatsApp ratings are not currently recorded in the system.


Kb169027056818848Scr



 Tags


Tags refer to specific keywords or labels that are used to categorize and organize the ticket. These tags will help you to easily identify, locate and determine the number of tickets associated with a particular tag. This enables efficient ticket management and facilitates quick access to relevant ticket groups based on specific topics or criteria.


Note: currently, the Tags option has limited functionality.


Kb1690270991018548Sc




Call Logs



Call Logs refer to a record or history of all incoming and outgoing phone calls made by an agent or a client. These logs typically include essential details about each call, such as the recording, date and time of the call, the phone numbers on which the call was made, caller ID, call duration, and the name of the agent handling the call


You will get an option to employ different filters for sorting call logs. These filters include Dates, Sources (Hello/API), Destination, Inbound/Outbound calls, Specific agents, or based on the call status. By utilizing these filters effectively, you can efficiently manage and review call data according to your specific requirements and preferences.


Note: Currently, we do not have the option to export the call logs.




Message Report


A message report refers to a detailed summary or analysis of inbound/outbound messages (tickets) exchanged between clients and teams within a communication platform. This report typically includes essential information about the count of tickets received, as per Team or agent wise. Message reports serve as valuable tools for monitoring communication patterns and, analyzing message volume.


You can filter out the data based on below three criteria:


a) Team-wise Report:

Kb169028126952001Scr


Kb1690281491126179Sc



Kb1690281669786284Sc



Performance


A performance report refers to an analytical tool used to assess and evaluate data related to ticket transfers within internal teams. Additionally, the report tracks the status of client tickets, including those that have been snoozed, closed, reopened, and marked as spam.


You can filter out the data on the basis of Team or Agents.


Kb1690282764071062Sc


Sample Data after clicking on the 'user' icon ()


Kb1690283510451943Sc



Working Hour


A working hour report refers to a detailed record and analysis of the hours during which an individual is actively working or available to handle tickets.

The working hour report is a valuable tool for monitoring productivity, assessing resource availability, and identifying peak periods of activity.


Here, you can check the data on the basis of Dates or Specific Agents. You will get a detailed report of the total number of outbound messages sent by the agent with respect to the time mentioned on the scale and their active working hours.

Kb1690284487723413Sc







How to check Analytics in Hello?
Hello ReportsFeedbackconversation ratingscheck AnalyticsHello
Nov 11, 2024