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Metrics and Attributes for AI & Automation

In Custom Report, data of each Comm100 product is organized into multiple datasets. Each dataset contains a subset of metrics and attributes that can be used to build reports.

This article describes the metrics and attributes available in the following AI & Automation datasets:

  • AI Agent Intent Detection Record
  • Taskbot Trigger Record
  • AI QA Review Item
  • AI Coaching Opportunity Assignment


AI Agent Intent Detection Record Dataset

AI Agent Intent Detection Record Metrics

Metric

Definition

Supported Aggregator

Answers

The total number of answers the AI Agent sent to visitors, including Topic Answers and Generative Answers.

Count

Helpful Rate

The number of times users rated AI Agent answers as Helpful.

Count

High Confidence Answers

The number of High Confidence Answers sent by the AI Agent.

Count

% of High Confidence Answers

The percentage of High Confidence Answers among all answers sent by the AI Agent.

Percentage

No Answers

The number of times the AI Agent did not provide an answer to a visitor.

Count

No Rate

The number of AI Agent answers that users did not rate.

Count

Not Helpful Rate

The number of times users rated AI Agent answers as Not Helpful.

Count

Possible Answers

The number of times the AI Agent provided a Possible Answer to a visitor’s question.

Count


AI Agent Intent Detection Record Attributes

Attribute

Description

Campaign

The campaign in which the AI Agent engaged with visitors.

Channel

The channel through which the AI Agent engaged with visitors.

Intent Name

The name of the Intent triggered by the AI Agent to provide an answer.

Time

The time when the AI Agent engaged with a visitor.


Taskbot Trigger Record Dataset

Taskbot Trigger Record Metrics

Metric

Definition

Supported Aggregator

Completed Times

The number of times a Taskbot conversation reaches the end of a flow.

Count

Completion Rate

The percentage of Taskbot triggers that reach the end of a flow.

Percentage

Taskbot Usage

The number of Taskbot actions that are triggered.

Count

Triggered Times

The number of times the Taskbot is triggered.

Count

Uncompleted Times

The number of times a visitor ends a Taskbot conversation before reaching the end of the flow, or an agent takes over the conversation.

Count


Taskbot Trigger Record Attributes

Attributes

Description

Time

The time when the Taskbot was triggered. The available options include By Day, By Week, By Month, By Quarter, By Year, Hour of the day, Day of the week, Day of the month, Month of the year, and Quarter of the year.

Taskbot

The name of the Taskbot.

Trigger Type

The method used to trigger the Taskbot. Values include Agent, Chatbot, OfflineMessage, Pre-chat, and Taskbot.


AI QA Review Item Dataset

AI QA Review Item Metrics

Metric

Definition

Supported Aggregator

Accuracy Score

The accuracy score assigned to an evaluated question-and-answer pair in a review item, ranging from 0 to 5..

Average, Sum, Minimum, Maximum

Auto Failures

The number of review items containing at least one failed auto-failure guideline. When a result has been revised, the human rating is used; otherwise, the AI rating is used.

Count

Guideline Compliances

The total number of guideline compliance checks.

Count

Guideline Compliance Score

The average guideline compliance score, ranging from 0 to 5.

Average

Manually Revised Review Items

The number of review items in which a human reviewer provided a rationale for at least one question rating or guideline compliance result.

Count

Passed Guideline Compliances

The number of guideline compliance checks that passed. When a result has been revised, the human rating is used; otherwise, the AI rating is used.

Count

Pass Rate

The percentage of guideline compliance checks that passed. The human rating is used when a rationale has been provided; otherwise, the AI rating is used.

Percentage

Question Ratings

The total number of question ratings.

Count

Reviewed Chats

The number of unique chats that have been reviewed.

Count

Review Item

The total number of review items.

Count

Zero Accuracy Scores

The number of review items with an Accuracy Score of 0.

Count


AI QA Review Item Attributes

Attributes

Description

Created Date

The date when the review item was created.

Chat Start Time

The time when the reviewed chat started.

Reviewed Time

The time when the review was completed.

Guideline

The guideline evaluated in the review item.

Human Revised Only

Indicates whether the review item has been manually revised by a human reviewer.

Review

The review that generated the review item.

Department

The department associated with the review item. The available values include all departments created in the account.

Agent

The agent evaluated in the review item. The available values include all agents in the account.


AI Coaching Opportunity Assignment Dataset

AI Coaching Opportunity Assignment Metrics

Metric

Definition

Supported Aggregator

Completion Time

The time taken to complete a coaching opportunity assignment.

Average, Sum, Minimum, Maximum

Coaching Opportunity Assignments

The total number of coaching opportunity assignments.

Count

Completion Rate

The percentage of coaching opportunity assignments that have been completed.

Percentage

Completed Coaching Opportunity Assignments

The number of coaching opportunity assignments that have been completed.

Count


AI Coaching Opportunity Assignment Attributes

Attribute

Description

Agent

The agent assigned to the coaching opportunity.

Coaching Opportunity

The coaching opportunity associated with the assignment.

Completed Time

The time when the coaching opportunity assignment was completed.

Assignment Created Time

The time when the coaching opportunity assignment was created.

Coaching Created Date

The date when the coaching opportunity was created.