LogoLogo
  • Dhee.AI
  • Concepts We Work on
    • What is NLP?
    • Natural Language Parser Pipeline
    • Word Embeddings
    • Textual Entailment
    • User Intent Recognition
    • Document Reading
  • Getting Started
    • Train your bot
      • Create your bot project
      • Train for Intent recognition
        • Define the Slots
        • Train the Triggers
        • Train for Stop-Triggers
      • Configure Agent Responses
      • Write your REST Endpoints
      • Configure Endpoints
      • Configure Workflow
        • Read Inputs
        • No Code Approach
        • REST Endpoints Approach
        • Acknowledge User
    • Build and Deploy
      • Build
      • Test
      • Deploy
        • Embedding Widget in Apps
  • Platform Reference
    • Manage Projects
    • Agent Settings
      • Basic
        • Language
        • Domain
        • Voice
        • Avatar Settings
      • Widget
        • Widget Theme
        • Widget Label
      • Advanced
      • Team
        • Development Team
        • Support Team
      • Import Export
      • Emailer
      • Billing
      • Botstore
    • Knowledge Management
      • Document Reading
      • Frequently Asked Questions
    • Intents and Automation
      • Intents
        • Slots
        • Triggers
        • Stop Triggers
        • Special Intents
      • Skills/DSM
        • Dialog Actions
        • Dialog State Transition
          • Slot State
        • Dialog Workflow
        • Skill API
      • Backend API
    • Extended Message Types
    • Entities And Other Data
      • Entities
        • Multilingual Entities
        • Language Specific Entities
        • Custom Entity Types
      • Agent Responses
        • Multilingual Responses
        • Missed Query Responses
        • Support-Unavailable Responses
      • Directive Utterances
        • Customize Inputs
        • Customize Outputs
      • Translations
      • Query Substitutions
      • Abbreviation Texts
    • Test & Deploy
      • Build
      • Test
      • Deploy
        • Launchpad
        • Widget
        • Signal
        • Telegram
        • Google RCS
        • Facebook
        • Alexa
        • Whatsapp
        • Custom App
        • Voice
        • Telephony
        • Email
    • Reports
      • Statistics
        • Summary
        • Daily Reports
          • Conversation Analytics
        • Weekly Reports
        • Monthly Reports
        • Output Spreadsheet
      • Conversations
        • Conversation Logs
        • C-SAT
      • Generate Report
        • Lead Report
        • Category Report
        • Device Demography Report
        • Utterance Report
        • Missed Query Report
        • Location Report
      • Report Settings
        • KPI
        • Schedule Report
      • Personnel Audit
        • Development Team
        • Support Team
          • Supervisory Sessions
          • Login Information
      • Bot Store
        • Reviews
        • Reported Issues
  • The Social Desk
    • Whatsapp
      • Customer Chat
      • Manage Template
      • Outreach Campaign
        • Create new
        • Manage Campaign
    • Reports
    • Settings
      • Team
      • Whatsapp
  • Extras
    • External Links
  • News
    • Dhee.AI's Edge Server for Telephony Achieves Breakthrough Optimization on Intel Architecture
  • Dhee.AI Telephony Edge Servers: Elevating Conversational AI Experience with Edge Computing
  • Pinnacle Teleservices Joins Forces with DheeYantra to Supercharge Conversational AI on WhatsApp
Powered by GitBook
On this page
  • Daily Conversation Data
  • Conversation By Hour
  • Project Concurrencies
  • Conversation by Language
  • Conversation By Source type
  • Conversation By domain
  1. Platform Reference
  2. Reports
  3. Statistics
  4. Daily Reports

Conversation Analytics

Unlock a wealth of insights through conversation analytics with Dhee's graphical reports module.

PreviousDaily ReportsNextWeekly Reports

Last updated 1 year ago

The conversation information could be further analyzed using a rich gallery of graphs. Some of the key graphs included in the Dhee.AI reports module are described below.

Daily Conversation Data

Conversation By Hour

The Daily conversation data can be further analyzed by hours to understand the peak hours of communication. This can help the Customer to manage his resources in a better way.

The graph sample shows that the max peak was reached around 10 AM. The traffic before 8 AM is seen to be comparatively lower.

Project Concurrencies

The Project concurrencies are used to depict the number of user agents used concurrently at different times of the day.

Conversation by Language

In the case of a multilingual bot, if the Customer is interested to compare the choice of language among the users, the Conversation By Language chart presents a summarized representation of the same.

Conversation By Source type

On other hand, if the Customer is interested to compare the source of access, he can view the Conversation By Source Type chart.

The chart displays the percentage of users who have used the Widget directly compared to users who have accessed the bot via Social Media.

Conversation By domain

Customers can compare the conversation data to obtain a comparison between different domains using the Conversation By Domain chart.

Conversation by Hour
Project Concurrencies
Conversation By Language
Conversation By Source Type
Conversation By Domain