Optimizing the performance of your Live Chat, Bot, Queue, Ticketing & Messaging Channels begins through understanding the quality of your current service. Questions you might want to answer include:
- Is your live chat team properly staffed?
- Why are visitors contacting your live chat team?
- How responsive is your team? How long are customers left waiting?
- Are your visitors satisfied? How do they rate your chat service?
- Which agent/department performs the best and which is the worst? Why?
- Is your Bot performing as well as expected? How do your customers like it?
- How well are your Ticketing & Messaging channels being handled?
- What is the distribution of your tickets? Are you meeting SLAs?
Comm100 provides robust reports which focus on the data and metrics that matter most to your chat quality, agent performance, visitor satisfaction, Bot performance, Ticketing & Messaging performance so that you can make informed decisions for improvement. This user guide walks you through the reports available by explaining the report structure and each metric available.
Real Time
Real Time Report shows real-time live chat data and an overview of today’s chat performance.
Real Time (Website)
This report is further broken down into two parts: Right Now and Today.
Right Now
This section is a real-time dashboard where the current number of chats, visits, available agents, and queue length can be checked.
Metrics in this section include:
Agents in Chat | The number of agents who are chatting with customers. |
Ongoing Chats | The number of chats currently occurring. |
Ongoing Chats with Agents | The total chats currently occurring between visitors and agents. |
Ongoing Chats with Bot | The total chats currently occurring between visitors and your chatbot. |
Current Queue Length | The number of visitors waiting in the queue. |
Visitors on Site | The number of visitors currently on the website. |
Logged-In Agents | The number of agents who are logged in. |
Chat Utilization | The percentage of total ongoing chats (of all online agents) to the sum of maximum concurrent chats of all online agents. This metric indicates the accessibility of the live chat team. |
Today
This section shows the data of the current day so far.
Metrics in this section include:
Chat Overview
Shows an overview of how many chats have been requested, answered, missed, abandoned, or switched to offline messages
Chat Requests | The total number of chat requests initiated on the website (whether initiated by visitors, agents’ manual invitations, or auto invitations) |
Chats | The total number of chat sessions which have occurred, whether involving human agents or Bot. The chats are NOT included if visitors who chatted with a Bot chose to transfer to a human agent but were missed or refused by agents. |
Chat Acceptance Rate | The percentage of answered chats to total chat requests, calculated by total chats / (chats + missed chats + refused chats). |
Abandoned Chats | The total number of chat requests abandoned by visitors closing the chat window while waiting. |
Switched to Messages | Visitors can choose to leave offline messages if they do not wish to continue waiting. This metric shows the total number of chat requests switched to offline messages by visitors. |
Missed Chats | The number of chat requests missed by agents. This metric is the sum of Abandoned Chats and Switched to Offline Messages. |
Bot
Shows an overview of your chatbot performance.
Bot Only Chats | The total number of chats that occurred between visitors and Bot only. The chats are also included if visitors chose to transfer to a human agent but were missed or refused by agents. |
% of Bot Only Chats | The percentage of Bot Only Chats versus total chats. |
Chats from Bot to Agent | The number of chats that are initiated with Bot and then transferred to a human agent. |
Bot to Agent Chat Acceptance Rate | The acceptance rate of chats that are initiated with the Bot and transferred to a human agent, calculated by chats accepted by agents / total chats transferred from Bot. |
Answers | The total answers Chatbot has sent to visitors. This metric is a sum of all the High Confidence Answers, Possible Answers, and No Answers. |
High Confidence Answers | The total times when Chatbot has given a High Confidence Answer to visitors. |
% of High Confidence Answers | The percentage of High Confidence Answers versus total answers Chatbot has sent. |
Service Efficiency
Shows an overview of the chat efficiency in the day so far.
Avg. Wait Time | The average wait time of waited chats (including waited chats that were answered, abandoned or rejected by agents; or switched to offline messages) equals to total wait time divided by the number of waited chats. |
Avg. Chat Time | The average time it took for an agent to finish a chat with Normal status. |
Avg. Agent Response Time | The average time it took for an agent to respond to a chat message from visitors. |
Accepted Invitations | The total number of both manual and automatic chat invitations accepted by visitors. |
Service Accessibility Rate | How accessible the live chat team is, i.e., the chance that a visitor’s request is answered by an agent. Service accessibility rate is calculated by (Chats + Switched to Messages)/ Chat Requests. |
Inter-department Transferred Chats | The total number of chat sessions in which chat transfers between departments took place. |
Total Transferred Chats | The total number of chat sessions during which chat transfers between agents or departments took place. Chats that are transferred from Bot to agent are not included. |
Agent Performance
Shows an overview of the average chat performance of agents.
Unique Chat Rate | A visitor may chat with an agent multiple times. This is identified as repeat chats. When calculating the unique chat rate, all chats with the same visitor will be counted as one chat. Unique Chat Rate is calculated by (Chats – Repeat Chats) / Chats. |
Agent utilization | The percentage of time agents have been involved in chats during their logged-in time. |
Avg. Score | The average rating score agents have received from visitors. |
Real-Time (Agent)
An overview of each agent’s workload in real-time and today.
Metrics in this report include:
Ongoing Chats/Maximum Concurrent Chats | Shows the number of chats currently taking place versus the maximum number of concurrent chats for each agent. |
Today’s Chats | The number of chats each agent has handled throughout the day. |
Today’s Linear Chat Time | The total length of time an agent has been involved in at least one chat. Where multiple chats overlap, these individual chat times are not added together, so this statistic shows chat times over a linear time period. |
Today's Agent Status Breakdown | Shows the distribution of an agent's status from 12:00 A.M. to the present time. |
Different colors are used to indicate different statuses.
Real-Time (Queue)
This part of the report shows the current queue length and visitors’ wait time. Where different routing rules are set up, resulting in multiple queues, statistics for each can be viewed.
Metrics in this report include:
Ongoing Chats/Max Concurrent Chats | Total ongoing chats versus maximum concurrent chats (of all available agents in the queue). Department or Agent can view this. |
Avg. Wait Time in Last 30 Minutes | The average length of time visitors waited in the queue during the last 30 minutes. |
Avg. Wait Time in Last Hour | The average length of time visitors waited in the queue during the last hour. |
Abandoned Chats in Last 30 Minutes | The number of chat requests abandoned by visitors closing the chat window while they were waiting in the queue during the last 30 minutes. |
Switched to Offline Messages in Last 30 Minutes | Visitors can choose to leave offline messages if they do not wish to continue waiting in the queue. This metric shows the number of chat requests that were switched to offline messages by visitors during the last 30 minutes. |
Current Queue Length (with dynamic visual effects) | The number of visitors waiting in the queue at the moment. Visitors are grouped based on the time they have waited, and different colors are used to indicate different groups, showing queue status at a glance. |
Workload and Staffing
Chat Volume Report | Shows the volume of accepted, missed, and refused chats. |
Offline Message Report | Shows source details of offline messages: either from the offline message window or from the queue. |
Chat Queue Report | Shows visitor actions while waiting in the queue: waiting to be served, abandoning the queue, or leaving messages. |
Wait Time Report | Shows how long visitors waited in the queue before they were answered or decided to abandon the queue. |
Workload Report | Shows the volume of agents’ work (chat volume, time in chats, concurrent chats, etc.) |
Chat Volume
The Chat Volume report shows the chat requests and visits occurring on the website and how many chat requests are connected to agents.
Metrics in this report include:
Chats | The total number of chat sessions which have occurred, whether involving human agents or Bot. The chats are NOT included if visitors who chatted with a Bot chose to transfer to a human agent but were missed or refused by agents. |
Chat Acceptance Rate | The percentage of answered chats to total chat requests, calculated by total chats / (chats + missed chats + refused chats). |
Bot to Agent Chat Acceptance Rate | The acceptance rate of chats that are initiated with the Bot and transferred to a human agent, calculated by chats accepted by agents / total chats transferred from Bot. |
Missed Chats | The total number of chat requests missed by agents. The number of missed chats is the sum of abandoned chats and offline messages from the queue. |
Refused Chats | If Auto Allocation is not enabled, agents need to accept or refuse chat requests manually. This metric shows the number of chat requests rejected by agents within a defined time range. |
Chat Requests | The total number of chat requests initiated on the website (whether initiated by visitors, agents’ manual invitations, or auto invitations). |
Visits | The total number of visits. A visit session refers to a visit made to a website within a given time frame by a single user, from the status of In Site to Out of Site. |
Avg. Chat Time | The average time it took an agent to finish a chat. |
Avg. Wait Time | The average wait time of waited chats (including waited chats that were answered, abandoned or rejected by agents; or switched to offline messages) equals to total wait time divided by the number of waited chats. |
The Chat Volume report can be viewed by Time, by 24/7 Distribution, by Half-Hour distribution, by Campaign, by Department, or by Visitor Segment.
Offline Message
The Offline Message report shows the number of messages received from the queue and the offline message button.
Metrics in this report include:
Messages | The total number of offline messages left by visitors. |
Offline Messages from Offline Button | The total number of offline messages left by visitors when agents are offline. |
Offline Messages from Chat Queue | The total number of offline messages left by visitors when they are waiting in the queue. |
Offline Messages from Chatbot | The total number of offline messages left during the Chatbot chats and conversations when visitors chose to switch to an agent or were transferred by Chatbot to agents via smart triggers when no agents were online. |
The Offline Message report can be viewed by time, by 24/7 Distribution, by Half-hour Distribution, by Campaign, by Department, or by visitor segment.
Chat Queue
Chats can be routed to one agent or multiple agents in a department. When agents or Departments handle their maximum number of chats, any new chats will enter a queue. The queue report shows all queue data in this scenario.
Metrics in this report include:
Queued Chat Requests | The number of chat requests that waited in the queue before they were connected to agents, abandoned, or switched to offline messages. |
Chats from Queue | The number of chat requests waited in the queue but later got connected to agents. |
Switched to Offline Messages | The number of chat requests which were switched to offline messages by visitors. |
Abandoned Chats | The total number of chat requests abandoned by visitors who closed the chat window while waiting in the queue. |
Refused Chats | The number of chat requests from queue that agents refused. |
Max Queue Size | The largest number of chat requests in one queue over a given time range. |
The Queue report can be viewed by time, by 24/7 distribution, by half-hour distribution, or by the department.
Wait Time
This report provides more in-depth information on wait time in the queue.
Metrics in this report include:
Avg. Wait Time | The average wait time of waited chats (including waited chats that were answered, abandoned or rejected by agents; or switched to offline messages) equals to total wait time divided by the number of waited chats. |
Avg. Wait Time of Missed Chats | The average time visitors waited in the queue before they abandoned the queue or switched to leaving a message. |
Max. Wait Time | The longest time length visitors waited in the queue before agents answered them, abandoned the queue, or switched to leaving a message. |
Max. Wait Time of Missed Chats | The longest time length visitors waited in the queue before they abandoned the queue or switched to leaving a message. |
Overall Avg. Waiting Time | The average wait time of all chats (including chats that were answered, abandoned or rejected by agents; or switched to the offline messages) equals to total wait time divided by the number of all chats. |
The Wait Time report can be viewed by Time, by 24/7 Distribution, by Half-Hour Distribution, or by Department.
Workload
This report shows utilization by comparing time on chats with idle time.
Metrics in this report include:
Linear Chat Time | The total length of time an agent was involved in at least one chat. Where multiple chats overlap, these individual chat times are not added together, so this statistic shows chat times over a linear time period. The linear chat time of a department is the time length when there is at least one logged-in agent in the department whose status is chatting. The same rule applies to the linear chat time of the live chat team. |
Idle Time | This metric refers to the length of time when there was no chat occurring, viewable by agent, department, or entire live chat team. |
Agent Utilization | This metric shows the percentage of time agents were involved in chats during their logged-in time. The formula to calculate agent utilization is linear chat time/ logged-in time. |
Avg. Concurrent Chats | A live chat agent can handle more than one chat simultaneously, which is called concurrent chats. |
The formula to calculate average concurrent chats is total chat time/total logged-in time.
The formula applies to the agent, department, and the whole live chat team level. Please note that the department's logged-in time is when there is at least one agent in the department logged in to the Comm100 Live Chat console. The same rule applies when the logged-in time of the live chat team is calculated.
Total Chat Time | The sum of the length of all chats. The total chat time of an agent, a department, or the live chat team can be calculated. |
Chats | The total number of chats that agents were involved in. Chats that were initiated with Bot and transferred to agents are also included. |
The workload report can be viewed by time, by 24/7 distribution, by half-hour distribution, by the department, or by the agent.
Agent Performance
Agent Performance Report | Shows the overall performance of agents in terms of workload, efficiency. Note: This report is only available in Live Chat Startup and Live Chat Plus. The Workload Report and Efficiency Report are replacements for this in Live Chat Ultra. To learn more about Comm100 plans and packages, visit here. |
Efficiency Report | Shows agent responsiveness to visitor chat requests and chat messages. |
Post-Chat Survey Report | Shows detailed statistics on Post-Chat survey questions, which provides insight into visitor satisfaction. |
Rating Report | Shows how visitors rated agents’ service through the Post-Chat survey. |
Agent Performance Report
This report shows the overall performance of the agents.
Metrics in this report include:
Avg. Chat Time | The average time it took an agent to finish a chat. |
Avg. Wait Time | The average wait time of all the chats answered by agents divided by the number of waited chats. |
Chats | The total number of chats that agents were involved in. Chats that were initiated with Bot and transferred to agents are also included. |
Total Chat Time | The sum of the length of all chats. Viewable by agent, department, or the live chat team as a whole. |
Last Message Sent by Agent | The total number of chats where the Agent sends the last chat message. |
The Agent Performance report can be viewed by time, by the department, and by the agent.
Efficiency
This report shows the average response time, wait time, and chat time of each agent, department, and the whole live chat team.
Metrics in this report include:
Avg. Agent Response Time | The average amount of time an agent took to respond to a message from visitors. |
Avg. Agent First Response Time | The average amount of time an agent took to manually send the first message to the visitor after a chat starts. |
Avg. Wait Time | The average wait time of waited chats (including waited chats that were answered by agents) equals to total wait time divided by the number of waited chats. |
Avg. Chat Time | The average time it took an agent to finish a chat. The formula to calculate average chat time is: Total chat time/Total chats. |
Avg. Agents’ Chat Messages | The average number of messages sent by agents during a chat session. |
Avg. Visitors’ Chat Messages | The average number of messages sent by visitors during a chat session. |
Avg. Canned Messages | The average number of canned messages sent by agents during a chat session. |
Last Message Sent by Agent | The total number of chats where the Agent sends the last chat message. |
The Efficiency report can be viewed by time, by Department, by 24/7 Distribution, by Half-Hour distribution, or by Agent.
Post-Chat Survey
Besides a general rating score, the post-chat survey can also collect visitors’ feedback on a particular survey question. The Post-Chat Survey report shows the statistics on survey questions which allow visitors to select one or more options from a list of defined answers.
Metrics in this report include:
Count | Total times an option has been selected for a post-chat survey. |
Percentage | The percentage of an option being selected for a post-chat survey. |
The post-chat survey can be viewed by campaign and by department. You can filter the campaign or department to see how the answers to each survey question are distributed under a specific campaign or department.
Rating
In Comm100 Live Chat, visitors can rate the chat service they received. This report shows details of visitors’ ratings on the chat performance of an agent, a department, and the live chat team as a whole within a defined time range.
Note that rating is part of the post-chat survey; however, the rating and post-chat survey reports are different. The rating report shows the statistics on rating score; while the Post-Chat Survey report shows the statistics on survey questions, allowing visitors to select one or more options from the defined answers.
Metrics in this report include:
Rating Times | The total number of chats rated in the defined time range. |
Rating times of each score | The total number of chats under each rating score, from Score 5 to Score 1. Clicking on each score shows all chats with that score. |
Avg. Score | The average score visitors rated on agents’ chat performance. |
The rating report can be viewed by time, by Department, and by Agent.
Proactive Chat Performance
Auto Invitation Report | Shows the total trigger times of auto invitations as well as the acceptance rate of these invites. |
Chat Source Report | Shows details of how chat requests were initiated (by visitors, from the manual invitation, or auto invitation). |
Manual Invitation Report | Shows the usage of manual invitations sent by agents as well as the acceptance rate of these invites. |
Auto Invitation
In addition to manual invitations, rules can be defined to automatically invite visitors to chat within each campaign, triggering an invitation when the rule conditions are met. Multiple auto invitations under each campaign can be used. The auto invitation report shows the take-up of auto invitations.
Metrics in this report include:
Sent | The number of auto invitations sent to visitors. |
Accepted | The number of auto invitations accepted by visitors. |
Acceptance Rate | The percentage of sent invitations accepted by visitors. |
Chats from Auto Invitations | The number of successful chats that are from auto invitations. |
The Auto Invitation report can be viewed by time, by the campaign, or by invitation. Viewing by invitation shows the total sent times, accepted times, the acceptance rate, and the successful number of each auto invitation. Data can be filtered by Campaign to show data on all auto invitations under each campaign.
Chat Source
This report shows the number of chats requested by visitors, initiated by agents manually, and triggered by predefined auto invitation rules, respectively.
Metrics in this report include:
Chats | The total number of chat sessions occurred (whether initiated by visitors, agents’ manual invitations, or auto invitations). |
Chats Initiated by Visitors | The total number of answered chats initiated by visitors. |
Chats from Manual Invitations | The total number of chats initiated by agents’ manual invitations and accepted by visitors. |
Chats from Auto Invitations | The total number of chats initiated by rule-based auto invitations and accepted by visitors. |
The Chat Source report can be viewed by time, by 24/7 distribution, by half-hour distribution, or by the department. The request page URL of each chat can also be viewed. The requested page refers to the URL of a page where a chat request was initiated. This shows pages on which visitors may have the most questions.
Manual Invitation
Agents can invite visitors to chat manually in Comm100 Live Chat. This report shows the usage and effectiveness of manual invitations.
Metrics in this report include:
Sent | The number of invitations manually sent by agents. |
Accepted | The number of manual invitations accepted by visitors. |
Acceptance Rate | The percentage of accepted invitations versus sent ones. |
The Manual Invitation report can be viewed by time and by an agent.
Feature Utilization
Chat Transfer Report | Shows how many chats were transferred to another agent or department. |
Wrap-Up Report | Shows categorizations of chats and the wrap-up completion rate. |
Co-browsing Report | Shows the number of co-browsing requests/sessions, total & average duration of the session. |
Pre-Chat Survey Report | Shows the statistics of Pre-Chat survey questions, which offers basic information about your user base. |
Conversions Report | Shows all achieved conversions, total conversion value, and your live chat conversion rate. |
Chat Transfer
Chats can be transferred to agents or departments for further troubleshooting or review. When a chat is transferred to another department, all online agents in the destination department will be notified of the transfer.
A healthy chat transfer ratio indicates that the live chat agents are working effectively and are trained correctly, whereas an elevated chat transfer ratio may indicate issues. This report shows utilization by comparing time on chats with idle time.
Metrics in this report include:
Transferred Chats | The total number of chat sessions during which chat transfers between agents or departments took place. Chats that are transferred from Bot to agent are not included. |
Inter-department Transferred Chats | The total number of chat sessions during which chat transfers between departments took place. |
Cross-site Transferred-in chats | The number of chats that have been transferred from other sites to the current site. |
Cross-site Transferred-out chats | The number of chats that have been transferred from the current site to another site. |
Chats | The total number of chat sessions which have occurred, whether involving human agents or Bot. The chats are NOT included if visitors who chatted with a Bot chose to transfer to a human agent but were missed or refused by agents. |
The Chat Transfer report can be viewed by time and by the department.
Wrap-Up
The Wrap-Up report is further broken down into two parts: Survey report and Completion report.
Survey Report
This report shows the percentage of each wrap-up category used by agents.
Metrics in this report include:
Count | Total times an option has been selected for a wrap-up category. |
Percentage | The percentage of an option being selected for the wrap-up category. |
Wrap-up is a campaign-level setting; a campaign can also be used as a filter to see chats' categorization under a specific campaign.
Completion Report
This report shows the proportion of chats where agents’ wrap-up comments are completed. To calculate the completion rate, the formula is chats with agents’ wrap-up information/total chats.
Metrics in this report include:
Wrap-ups | The number of chats that had wrap-up comments. |
Chats | he total number of chat sessions which have occurred, whether involving human agents or Bot. The chats are NOT included if visitors who chatted with a Bot chose to transfer to a human agent but were missed or refused by agents. |
Completion Rate | The percentage of chats where agents’ wrap-up comments were completed |
The completion report can be viewed by Time, by Department, and by Agent.
Co-browsing
This report shows the number and duration of co-browsing sessions.
Metrics in this report include:
Co-browsing Requests | The total number of co-browsing requests made by agents. |
Total Co-browsing Session Time | The total duration of co-browsing sessions. |
Co-browsing Sessions | The number of co-browsing sessions took place in a given time range. |
Avg. Co-browsing Session Time | The average duration of each co-browsing session. |
The Co-browsing report can be viewed by time, hour/day/week/month distribution, by Department, Agent, or by Visitor Segment.
Pre-Chat Survey
A pre-chat survey allows visitor information to be collected before a chat starts. For example, their name, email address, or which type of questions they have. The pre-Chat Survey report shows the statistics on survey questions, which allow visitors to select one or more options from a list of defined answers.
Metrics in this report include:
Count | Total times an option has been selected for a pre-chat survey question. |
Percentage | The percentage of an option being selected for a pre-chat survey question. |
The post-chat survey can be viewed by campaign and by department. You can filter the campaign or department to see how the answers to each survey question are distributed under a specific campaign or department.
Conversions
This report shows all achieved conversions, total conversion value, and your live chat conversion rate. You can also compare performance in different time periods, among departments or agents, and between conversion actions.
Metrics in this report include:
Conversions | The total number of conversion actions that occurred on your site. Every conversion that happens after an interaction will be counted. |
Chats | The total number of chat sessions which have occurred, whether involving human agents or Bot. The chats are NOT included if visitors who chatted with a Bot chose to transfer to a human agent but were missed or refused by agents. |
Chatted Visitors | The total number of visitors who chatted with your agents or Bot. |
Converted Visitors | The total number of visitors who performed defined conversion actions. |
Converted Chatted Visitors | The total number of visitors who chatted with agents or Bot and performed defined conversion actions. |
Conversion Rate of Chatted Visitors | Calculated by Converted Chatted Visitors / Chatted Visitors. |
Value | The total value of all conversions performed. The value must be manually assigned to conversions. |
The report also allows you to filter by department, by agent, by conversion action, or by conversion list.
The Ticketing & Messaging reports inform you of the status of all tickets generated from your ticketing & messaging channels and your agent’s performance. The report is broken down into four parts: Real-Time report, Volume report, Source Report, and Efficiency report.
Real Time
The Real-Time report gives an at-a-glance view of all ticket handling status and agent performance. This report keeps you informed in real-time of all conversations generated from your Ticketing & Messaging channels.
This Report is further broken down into two parts: Right Now and Today.
Right now
Metrics in this report include:
Unassigned Tickets | The total number of tickets that haven’t been assigned to any departments or agents. |
Open Tickets | The number of tickets with statuses of New, Pending Internal, Pending External, or On-Hold. |
New tickets | The number of tickets that haven’t been replied to yet. |
Pending Internal Tickets | The number of tickets that require an internal party’s action. |
Pending External Tickets | The number of tickets that are waiting for an external party to reply. |
On-Hold Tickets | The number of tickets that agents plan not to reply to right now and mark these tickets' status as On-Hold for further check. |
Urgent Tickets | The number of tickets with Urgent priority. |
High Priority Tickets | The number of tickets with High priority. |
Today’s Replied Tickets | The number of tickets that have been replied to today. |
Today’s Closed Tickets | The number of tickets that were closed today. |
Today
Metrics in this report include:
Created Tickets | The number of tickets that were created today. |
Resolved Tickets | The number of tickets resolved today. |
Replied Tickets | The number of tickets replied today. |
Reopened Tickets | The number of tickets that were reopened today. |
Volume
The Ticketing & Messaging Volume report shows how many tickets occurred on your site within a specific time period.
Metrics in this report include:
Open Tickets | The number of tickets with statuses of New, Pending Internal, Pending External, or On-Hold. |
Created Tickets | The number of tickets created within the defined time period. |
Replied Tickets | The number of tickets replied within a defined time period. |
Reopened Tickets | The number of tickets reopened within a defined time period. |
Resolved Tickets | The number of tickets resolved within a defined time period. |
Visitor Messages | The number of messages received from visitors in all tickets. |
Agent Messages | The number of messages sent by agents in all tickets. |
This report can be viewed by site, by agent, by department, by channel, or by channel account.
Channel
The Ticketing & Messaging Channel report breaks down the numbers of messages or posts from different channels within a specific time period.
Metrics in this report include:
The number of tickets created from Email messages. | |
Facebook Wall Post | The number of tickets created from Facebook Wall Posts. |
Facebook Visitor Post | The number of tickets created from Facebook Visitor Posts. |
Facebook Message | The number of tickets created from Facebook Messages. |
Total | All tickets created from Facebook Wall Posts, Facebook Visitor Posts, and Facebook Messages. |
Twitter Tweet | The number of tickets created from Twitter Tweets. |
Twitter Direct Message | The number of tickets created from Twitter Direct Messages. |
Total | The number of tickets created from Twitter Tweets and Twitter Direct Messages. |
The number of tickets created from WeChat Messages. | |
SMS | The number of tickets created from SMS Messages (Twilio). |
The number of tickets created from WhatsApp Business message. | |
Chat | The number of tickets created from Live Chat. |
Offline Message | The number of tickets created from Offline Message. |
Internal | The number of tickets created from internal. |
LINE | The number of tickets created from LINE. |
Telegram | The number of tickets created from Telegram. |
Instagram Post Comment | The number of tickets created from Instagram Post Comment. |
Instagram Post | The number of tickets created from Instagram Post. |
Instagram Direct | The number of tickets created from Instagram Direct. |
Total | The number of tickets created from Instagram. |
Secure Messaging | The number of tickets created from Secure Messaging. |
Messenger | The number of tickets created from Messenger. |
Signal | The number of tickets created from Signal. |
This report can be viewed by site, by time, by agent, by the department, or by Ticketing & Messaging Channel.
Efficiency
The Ticketing & Messaging Efficiency report shows the agent’s average response time, average first response time, and the average time to close a ticket.
Metrics in this report include:
Avg. Agent Response Time | The average amount of time it takes for an agent to respond to a ticket. |
Avg. First Response Time | The average amount of time it takes for an agent to send the first response in a ticket. |
Avg. Visitor Messages | The average number of messages sent by visitors in a ticket. |
Avg. Agent Messages | The average number of messages sent by agents in a ticket. |
Avg. Ticket Time | The average amount of time it takes an agent to resolve a ticket. |
This report can be viewed by site, by agent, by department, by channel, or by channel account.
SLA Policies
The Ticketing & Messaging SLA Policies report shows the agent’s SLA policies details by agent, department, and SLA policy.
Metrics in this report include:
SLA First Response Rate | The percentage of the number of tickets whose first responses were sent within the SLA divided by the total number of tickets that matched this SLA policy. |
SLA Avg. First Response Time | Total time of first responses that were sent within the SLA divided by the number of tickets whose first responses were sent within the SLA. |
SLA Next Response Rate | The percentage of the number of tickets whose next responses were sent within the SLA divided by the total number of tickets that matched this SLA policy. |
SLA Avg. Next Respond Time | Total time of next responses that were sent within the SLA divided by the number of tickets whose next responses were sent within the SLA. |
SLA Resolution Rate | The percentage of the number of tickets that were resolved within the SLA divided by the total number of tickets that matched this SLA policy. |
SLA Avg. Resolution Time | Total time of resolution that were done within the SLA divided by the number of tickets which were resolved within the SLA. |
Breached Tickets | The number of tickets that breached the SLA goal. |
Comm100's Task Bot reporting serves as a useful tool for measuring the achievements of the Task Bot. It provides in-depth knowledge about your Task Bot. It also helps you find out areas where your Task Bot needs improvement based on specific metrics so that you can improve the Task Bot's performance by providing actionable goals.
Triggered Times
The Triggered Times report provides information on the number of times the Task Bots were triggered, how many were finished successfully, and how many were not finished.
Metrics in this report include:
Completed Times | Displays the number of times a Task Bot chat reaches the end of a flow. |
Uncompleted Times | Displays the number of times the visitor ends the Task Bot chat in the middle of a flow, or the agent takes over the Task Bot. |
Completion Rate | Displays the percentage ratio of the Completed Times to Total Trigger Times |
Total Triggered Times | Displays the number of times the Task Bot is triggered |
The Triggered Times report metrics vary By Time, By Task Bot, and By Trigger Type tabs you select.
Collected Leads
- By Time
- By Task Bot
Task Bot Usage
The Task Bot Usage report provides data on the Total Triggered Actions by all the Task Bot.
Booked Meeting
The Booked Meeting report displays the number of meetings booked by the Task Bot. You can view the booked meeting details:
- By Time
- By Task Bot
Chatbot reports allow you to track the performance and service quality of your Chatbot. The reporting suite has six individual reports available: Chats & Tickets report, Answers report, High Confidence Answers report, Rating report, and Chatbot & Agent report. To learn more on Chatbot reporting, see this article.
Chats & Tickets
This report shows the number of resolved and unresolved Chatbot chats, social conversations, and total Chatbot chat time.
Metrics in this report include:
Chatbot Only Chats & Tickets | The total number of chats and tickets that occurred between visitors and Bot only. |
Chats & Tickets from Chatbot to Agent or Offline Message | The total number of chats and tickets that are initiated with Bot and then transferred to a human agent or left an offline message. |
Percentage of Chatbot Only Chats & Tickets | The percentage of Chatbot Only Chats & Tickets to the total number of chats and tickets involving Chatbot. |
Chatbot Only Chats | The number of chats that occurred between visitors and Bot only. The chats are also included if visitors chose to transfer to a human agent but were missed or refused by agents. |
Chats from Chatbot to Online Agent | The number of chats that are initiated with Bot and then transferred to a human agent. Chats that were not successfully connected to agents are not included. |
Chats from Chatbot to Offline Message | The number of Chatbot chats and conversations during which visitors chose to switch to transfer to an agent or were transferred by Chatbot to the agent via smart triggers when no agents were online. |
Chatbot Chat Time | The total duration when Chatbot chatted with visitors, including in the chats that were transferred to agents. |
Agent Chat Time | The total duration when agents chatted with visitors in chats that were transferred from the Chatbot. |
This report can be viewed at the account or channel level. And can be filtered by time, by site, or by Chatbot.
Answers
This report shows the number of High Confidence Answers, Possible Answers, Generative Answers, and No Answers sent to visitors by the Chatbot, and the percentage of High Confidence Answers and Generative Answers. This helps you gain insight into the comprehensiveness of your intent library.
Metrics in this report include:
Answers | The total answers the Chatbot sent to visitors. This metric is a sum of all the High Confidence Answers, Possible Answers, and No Answers. |
High Confidence Answers | The total times when Chatbot gave a High Confidence Answer to visitors. |
Possible Answers | The total times when Chatbot gave a Possible Answer to visitors. |
Generative Answers | The total times when Chatbot generated responses to visitors through deep learning and analysis of information sources. |
No Answer | The total times when Chatbot cannot answer visitors' question. |
Percentage of High Confidence Answers | The percentage of High Confidence Answers to the total number of answers the Chatbot has sent. |
Percentage of Generative Answers | The percentage of High Generative Answers to the total number of answers the Chatbot has sent. |
Answer Report can be viewed at the account or channel level. And also can be filtered by time, by site, or by Chatbot.
High Confidence Answers
This report shows the number of helpful and not helpful visitor ratings gave to High Confidence Answers sent by Bot. This helps you see your Bot’s answers' accuracy and gain insight into how to adjust your High Confidence Answer Score.
Metrics in this report include:
High Confidence Answers | The total times when Chatbot gave a High Confidence Answer to visitors. |
Helpful Rate | The total times when High Confidence Answers rated as “Helpful” by visitors. |
Not Helpful Rate | The total times when High Confidence Answers rated as “Not Helpful” by visitors. |
No Rate | The total times when High Confidence Answers hadn’t been rated by visitors. |
This report can be viewed by time, by site, by the campaign, or by Chatbot.
Rating
In addition to the Helpful/Not Helpful rating on each High Confidence Answer sent by the Chatbot, visitors can also rate the whole Chatbot conversation on a scale from 1 to 5.
Metrics in this report include:
Rating Times | The number of Chatbot Resolved chats rated by visitors within the defined time range. |
Rating Times of Each Score (Score 1 to Score 5) | The number of Chatbot Resolved chats that received each score value. The score ranges from 1 to 5. |
Avg. Score | The average score given by visitors to chats solely managed by Chatbot. |
This report can be viewed by time or by Chatbot.
Chatbot & Agent
This report compares Bot and Agent chat performance in terms of workload, chat efficiency, and visitor satisfaction.
Metrics in this report include:
Chats | The total number of chats handled by Chatbots or Agents. |
Avg. Chat Time | The average time it took for Chatbots or agents to finish a chat. |
Avg. Rating Score - Chatbot | The average score given by visitors to chats solely managed by Chatbot and chats transferred from Chatbot to agents. |
Avg. Rating Score - Agent | The average score given by visitors to chats solely managed by agents and chats transferred from Chatbot to agents. |
Total Chat Time | The total duration of all Chatbot or agent chats. |
This report can be viewed by time, by all chats, or filtered out chats transferred from Chatbot to an agent to compare pure Chatbot and agent chats.
Chatbot Usage
The Chatbot Usage report provides data on the usage of Chatbot's Generative Answers and Custom Answers.
Metrics in this section include:
Action Usage | The total number of messages the Chatbot sends to visitors. |
Token Usage | Tokens are the basic unit that the Generative Answers feature breaks down text data into for processing. When crafting responses to one visitor question, approximately 5K tokens are typically consumed. |
You can view the report by Time and Chatbot.
Top Intents
The Top Intents report is used to view the top used Intent and Category in a period for a Chatbot.
Collected Leads
The Collected Leads report provides the number of leads collected by Chatbot. You can view the report By Time and By Chatbot.
Booked Meetings
The Booked Meetings report provides the number of meetings booked by the Chatbot. You can view the report By Time and By Chatbot.
There are no default reports for Queue. However, you can create Queue reports via building Custom Report.
Metrics in this report include:
No-show | The number of queue sessions that are marked as no-show after being summoned, either by configured time or manually marked as a no-show by agents. |
% No-show Rate | The percentage of all no-show queue sessions to all queue sessions. |
Queue Session | The number of queue sessions that occurred. One queue session is created when a customer joins the queue. |
Removed | The number of queue sessions manually removed by an agent or automatically removed by the system. These customers never get summoned. |
Served | The number of queue sessions that have been served by the agent. |
% Served Rate | The percentage of all served queue sessions to all queue sessions. |
Serve Time | The time it takes for an agent to complete a queue service for customers. |
Avg. Serve Time | The average amount of time agent takes to complete queue services for customers. |
Max. Serve Time | The maximum amount of time agent takes to complete queue services for customers. |
Min. Serve Time | The minimum amount of time agent takes to complete queue services for customers. |
Summoned | The number of queue sessions that have been summoned by the agent. |
Wait Time | The duration of waiting time between customers first joining the queue until they were marked as arrived to get service. |
Avg. Wait Time | The average amount of waiting time between customers first joining the queue until they were marked as arrived to get service. |
Max. Wait Time | The maximum amount of waiting time between customers first joining the queue until they were marked as arrived to get service. |
Min. Server Time | The minimum amount of waiting time between customers first joining the queue until they were marked as arrived to get service. |
Wait Time from Joined to Summoned | The duration of waiting time between customers first joining the queue until they were summoned. |
Avg. Wait Time from Joined to Summoned | The average amount of waiting time between customers first joining the queue until they were summoned. |
Max. Wait Time from Joined to Summoned | The maximum amount of waiting time between customers first joining the queue until they were summoned. |
Min. Wait Time from Joined to Summoned | The minimum amount of waiting time between customers first joining the queue until they were summoned. |
Wait Time from Summoned to Arrived | The duration of waiting time between customers being summoned and marked as arrived for serving. |
Avg. Wait Time from Summoned to Arrived | The average amount of waiting time between customers being summoned and marked as arrived for serving. |
Max. Wait Time from Summoned to Arrived | The maximum amount of waiting time between customers being summoned and marked as arrived for serving. |
Min. Wait Time from Summoned to Arrived | The minimum amount of waiting time between customers being summoned and marked as arrived for serving. |
Availability Report
The Availability report provides details on agent status change within a defined time range. Logged-in agents can change their status between online and away or select any number of custom statuses. This report shows whether agents have stuck to normal working schedules within a defined time period.
Metrics in this report include:
Online | The length of time that an agent/a department/the live chat team is online and accessible. A department was online when one agent in the department is online; the live chat team is online when one agent is online. |
Logged-in | This shows, at the agent level, the sum of online time and away time. |
Total Away | This shows, at the agent level, the sum of any away time. |
The Availability report can be viewed by Time, by Department, and by Agent.
A detailed status change log of all agents can also be viewed. Each status is marked by color to make it easily identifiable. Clicking on an agent's name shows the agent’s status details and a table of the agent’s status changes.
The data can be filtered by Department to view the status details of each agent in a department. Table reports of agent status changes can only be viewed via the Agent filter.
Canned Messages Report
This report shows how many times and by how many agents each canned message was used within a defined time range.
Metrics in this report include:
Sent Times | The total times a canned message was sent by the agents within the defined time range. |
Agents Used It | The number of agents a canned message was used by within a defined time range. |
All canned messages in the library are displayed in this report. Messages can be filtered by category to see how the canned messages under each category were used.
This table shows the metrics, filters, and perspectives under each report.
Live Chat Reports
Real-Time | Real-Time -Website |
| N/A | N/A |
Real-Time – Agent |
|
| N/A | |
Real-Time -Queue |
| N/A | N/A | |
Workload & Staffing | Chat Volume |
|
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|
Offline Message |
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| |
Queue |
|
|
| |
Wait Time |
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| |
Workload |
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Agent Performance | Agent Performance |
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Chat Transfer |
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Efficiency |
|
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| |
Post-Chat Survey |
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Rating |
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| |
Proactive Chat Strategy | Auto Invitation |
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Chat Source |
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Manual Invitation |
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Feature Utilization | Chat Transfer |
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Wrap-Up |
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Pre-Chat Survey |
|
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Conversions | Conversions |
|
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Task Bot Reports
Triggered Times |
|
|
|
Collected Leads | N/A |
|
|
Task Bot Usage | N/A | N/A | N/A |
Booked Meetings | N/A |
|
|
Chatbot Reports
Chat & Tickets |
|
|
|
Answers |
|
|
|
High Confidence Answers |
|
| N/A |
Rating |
|
| N/A |
Chatbot & Agent |
|
| N/A |
Chatbot Usage |
|
| N/A |
Ticketing & Messaging Reports
Real-Time – Site |
| N/A | N/A |
Real-Time – Department |
| N/A | N/A |
Real-Time – Agent |
|
| N/A |
Volume |
|
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Channel |
|
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Efficiency |
|
|
|
SLA Policies |
| N/A |
|
Global Features Reports
Availability |
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Canned Messages |
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