시작
Kore.ai 대화형 플랫폼
챗봇 개요
자연어 처리(NLP)
봇 개념 및 용어들
빠른 시작 가이드
봇 빌더 접근 방법
사용 고지 사항 (영어)
Kore.ai 봇 빌더로 작업하기
봇 구축 시작하기
릴리스 정보
현재 버전 (영어)
이전 버전 (영어)

개념
디자인
스토리보드
대화 작업
개요
Using the Dialog Builder Tool
노드 유형
사용자 의도 노드
대화 노드
엔티티 노드
양식 노드
확인 노드
서비스 노드
봇 조치 노드
Service Node
WebHook 노드
스크립트 노드
노드 그룹화하기
Agent Transfer Node
사용자 프롬프트
음성 통화 속성
대화 관리
노드 및 전환
구성 요소 전환
컨텍스트 개체
이벤트 기반 봇 조치
지식 그래프
소개
지식 추출
지식 그래프 생성
봇에 지식 그래프 추가
그래프 생성
지식 그래프 작성
FAQ 추가
작업 실행
기존 소스에서 FAQ 구축
특성, 동의어 및 불용어
변수 네임스페이스 관리
수정
용어 편집 및 삭제
용어 편집 및 삭제
질문과 응답 편집
Knowledge Graph Training
지식 그래프 분석
봇 온톨로지 가져오기 및 내보내기
지식 그래프 가져오기
지식 그래프 내보내기
지식 그래프 생성
CSV 파일에서
JSON 파일
지식 그래프 생성
경고 작업
스몰 토크
Digital Skills
디지털 양식
Views
Digital Views
Panels
Widgets
기차
봇 성능 향상 – NLP 최적화
기계 학습
소개
모델 검증
기초 의미
지식 그래프 학습
특성
순위 및 해결
고급 NLP 설정
NLP 설정 및 지침
봇 인텔리전스
소개
컨텍스트 관리
컨텍스트 관리
대화 관리
다중 – 의도 탐지
엔티티 수정
기본 대화
정서 관리
어조 분석
Test & Debug
봇과 대화
발화 테스트
배치 테스트하기
대화 테스트
배포
채널 활성화
봇 게시
분석
봇 분석하기
Conversations Dashboard
Performance Dashboard
사용자 정의 대시보드
소개
맞춤형 메타 태그
사용자 정의 대시보드 생성 방법
Conversation Flows
NLP 지표
Containment Metrics
사용량 지표
스마트 봇
소개
범용 봇
소개
범용 봇 정의
범용 봇 생성
범용 봇 학습
범용 봇 커스터마이징
범용 봇용 추가 언어 활성화
스토어
Manage Assistant
플랜 및 사용량
Overview
Usage Plans
Support Plans
플랜 관리
봇 인증
다국어 봇
개인 식별 정보 삭제하기
봇 변수 사용
IVR 통합
일반 설정
봇 관리

방법
간단한 봇 생성하기
Design Conversation Skills
뱅킹 봇 생성
뱅킹 봇 – 자금 이체
뱅킹 봇 – 잔액 업데이트
Knowledge Graph (KG) 구축
스마트 경고를 예약하는 방법
Design Digital Skills
디지털 양식 설정 방법
디지털 보기 설정 방법
데이터 테이블에 데이터를 추가하는 방법
데이터 테이블 내 데이터 업데이트 방법
UI 양식에서 데이터 테이블에 데이터를 추가하는 방법
Train the Assistant
특성 사용 방법
의도와 엔티티에 대한 패턴 사용 방법
컨텍스트 전환 관리 방법
Deploy the Assistant
상담사 전환을 설정하는 방법
봇 기능 사용 방법
콘텐츠 변수 사용 방법
전역 변수 사용 방법
Kore.ai 웹 SDK 튜토리얼
Kore.ai 위젯 SDK 튜토리얼
Analyze the Assistant
사용자 정의 대시보드 생성 방법
사용자 지정 태그를 사용하여 봇 메트릭을 필터링하는 방법

API 및 SDK
API 참조
Kore.ai API 사용
API 목록
API 컬렉션
koreUtil Libraries
SDK 참조
상담사 전환을 설정하는 방법
봇 기능 사용 방법
콘텐츠 변수 사용 방법
전역 변수 사용 방법
소개
Kore.ai 웹 SDK 튜토리얼
Kore.ai 위젯 SDK 튜토리얼

관리
소개
봇 관리자 콘솔
대시보드
사용자 관리
사용자 관리
그룹 관리
역할 관리
봇 관리 모듈
등록
사용자 초대
사용자 등록을 위한 대량 초대 보내기
사용자 및 사용자 데이터 가져오기
Active Directory에서 사용자 동기화
보안 및 준수
싱글 사인 온 사용
보안 설정
Kore.ai 커넥터
봇 관리자용 분석
Billing (지원하지 않음)
  1. Docs
  2. Virtual Assistants
  3. Analyzing Your Bot
  4. Users Trend Analysis

Users Trend Analysis

Once you have implemented a virtual assistant, you can gain actionable insights on the type of users it handles, including unique, new, and returning users, and the user trends for a given period for different conversation types, conversation statuses, channels, languages, and custom conversational tags on the Users Dashboard.

The dashboard displays the trends of total users interacting with the virtual assistant, with a breakup of new and returning users, which helps understand user trends and the user retention status of your business.

For example, an eCommerce company requiring insights on user trend-based data for their mobile app can use the Users Dashboard to determine the following:

  • The new users, existing users, and returning users of their app.
  • The active users over a specific period.
  • The new and returning users on a specific day, week, or month.
  • The total inactive users registered on the app.
  • The percentage of users who return and use the app “N” days after they start using it.

To view the Users Dashboard, click the Analyze tab on the top menu and then click Users Dashboard in the left navigation. Select appropriate filters on the dashboard and click Apply.
Analyze Users Dashboard

Note: The Users Dashboard is available only post 9.3 release, i.e. post July 24, 2022.

User Trends Considerations

  • If User-A has interacted with the bot on 25-Jan-2022 for the first time and the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022 then this user is considered as a new user.
  • If User-B has interacted with the bot on 25-Jan-2022 for the first time and again interacted with the bot on 26-Jan-2022, and if the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022, then this user is considered as:
    • A new user on 25-Jan-2022
    • A returning user on 26-Jan-2022
  • If User-C has interacted with the bot on 21-Jan-2022 for the first time and again interacted with the bot on 26-Jan-2022, and the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022, then, this user is considered as a returning user.

Learn more about New and Returning Users

The Users Dashboard provides insights on the following user trend metrics:

  • Total Unique Users: The total number of unique users who interacted with the virtual assistant.
  • New Users: The total number of users who have interacted with the virtual assistant for the first time in the selected period.
  • Returning Users: The total number of users who have already interacted with the virtual assistant earlier and have initiated another session in the selected period.
  • Avg. Total Unique Users Per Day: The total number of unique users who interacted with the virtual assistant in the selected period divided by the number of days in the selected period.
  • Avg. New Users Per Day: The total number of new users who interacted with the virtual assistant in the selected period divided by the number of days in the selected period.

The key components of the Users Dashboard are:

  • Users Trend: The users’ trend shows the distribution of New Users, Returning Users, and Total Unique Users who have interacted with the virtual assistant over a period. This helps determine User Engagement for the selected period.Graph- Users’ Trend for the Selected Period

  • Users Trend Summary: This panel displays the real-time counts of the Total Unique Users, New Users, Avg. Total Unique Users Per Day, and Avg. New Users Per day.

The increment/decrement of the above user metrics’ counts is displayed as percentage values.

  • Returning Users: Displays the graph for the day-wise returning users (in percentage) for the selected dates and other filters. Here, Day 0 is the first time a user interacts with the virtual assistant. The returning users % is calculated for the consecutive days for the selected period. For example, in the following image, the number of users is 100% on Day 0 (first interaction) and 0% on Day 1 since none of the users that have already interacted with the virtual assistant have initiated a conversation on the same channel/browser.Graph- Returning Users Trend for the Selected Period

  • Cohort Analysis: This data visualization chart plots the weekly new users and the percentage of returning users based on the formula (Returning Users/New Users)*100 on the consecutive days to determine the retention rate. The Users Dashboard displays the Day N retention of daily, weekly, or monthly cohorts, within a customizable range of dates. For example, if you’re looking at the retention of daily cohorts acquired from July 13 to July 20, 2022, based on the filters selected, and the actual users returning on Day 2, the following Cohort Analysis Chart is displayed:

 

Filter Criteria

The Users Dashboard data can be viewed based on specific filter criteria that can be selected. Learn more.

Users Trend Analysis

Once you have implemented a virtual assistant, you can gain actionable insights on the type of users it handles, including unique, new, and returning users, and the user trends for a given period for different conversation types, conversation statuses, channels, languages, and custom conversational tags on the Users Dashboard.

The dashboard displays the trends of total users interacting with the virtual assistant, with a breakup of new and returning users, which helps understand user trends and the user retention status of your business.

For example, an eCommerce company requiring insights on user trend-based data for their mobile app can use the Users Dashboard to determine the following:

  • The new users, existing users, and returning users of their app.
  • The active users over a specific period.
  • The new and returning users on a specific day, week, or month.
  • The total inactive users registered on the app.
  • The percentage of users who return and use the app “N” days after they start using it.

To view the Users Dashboard, click the Analyze tab on the top menu and then click Users Dashboard in the left navigation. Select appropriate filters on the dashboard and click Apply.
Analyze Users Dashboard

Note: The Users Dashboard is available only post 9.3 release, i.e. post July 24, 2022.

User Trends Considerations

  • If User-A has interacted with the bot on 25-Jan-2022 for the first time and the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022 then this user is considered as a new user.
  • If User-B has interacted with the bot on 25-Jan-2022 for the first time and again interacted with the bot on 26-Jan-2022, and if the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022, then this user is considered as:
    • A new user on 25-Jan-2022
    • A returning user on 26-Jan-2022
  • If User-C has interacted with the bot on 21-Jan-2022 for the first time and again interacted with the bot on 26-Jan-2022, and the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022, then, this user is considered as a returning user.

Learn more about New and Returning Users

The Users Dashboard provides insights on the following user trend metrics:

  • Total Unique Users: The total number of unique users who interacted with the virtual assistant.
  • New Users: The total number of users who have interacted with the virtual assistant for the first time in the selected period.
  • Returning Users: The total number of users who have already interacted with the virtual assistant earlier and have initiated another session in the selected period.
  • Avg. Total Unique Users Per Day: The total number of unique users who interacted with the virtual assistant in the selected period divided by the number of days in the selected period.
  • Avg. New Users Per Day: The total number of new users who interacted with the virtual assistant in the selected period divided by the number of days in the selected period.

The key components of the Users Dashboard are:

  • Users Trend: The users’ trend shows the distribution of New Users, Returning Users, and Total Unique Users who have interacted with the virtual assistant over a period. This helps determine User Engagement for the selected period.Graph- Users’ Trend for the Selected Period

  • Users Trend Summary: This panel displays the real-time counts of the Total Unique Users, New Users, Avg. Total Unique Users Per Day, and Avg. New Users Per day.

The increment/decrement of the above user metrics’ counts is displayed as percentage values.

  • Returning Users: Displays the graph for the day-wise returning users (in percentage) for the selected dates and other filters. Here, Day 0 is the first time a user interacts with the virtual assistant. The returning users % is calculated for the consecutive days for the selected period. For example, in the following image, the number of users is 100% on Day 0 (first interaction) and 0% on Day 1 since none of the users that have already interacted with the virtual assistant have initiated a conversation on the same channel/browser.Graph- Returning Users Trend for the Selected Period

  • Cohort Analysis: This data visualization chart plots the weekly new users and the percentage of returning users based on the formula (Returning Users/New Users)*100 on the consecutive days to determine the retention rate. The Users Dashboard displays the Day N retention of daily, weekly, or monthly cohorts, within a customizable range of dates. For example, if you’re looking at the retention of daily cohorts acquired from July 13 to July 20, 2022, based on the filters selected, and the actual users returning on Day 2, the following Cohort Analysis Chart is displayed:

 

Filter Criteria

The Users Dashboard data can be viewed based on specific filter criteria that can be selected. Learn more.

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