Chattermill Features
Survey Management (4)
Brand Design Consistency
Creates feedback forms that are consistent with the design of the site.
Survey Deployment
Supports the creation and deployment of different survey types on different channels or devices.
Feedback Collection
Solicits, captures, and centralizes feedback from both structured and unstructured sources.
Device Responsiveness
Allows designs to adapt automatically to the device that users access the survey or software.
Process Management (4)
Feedback Aggregation
Aggregates feedback and transforms feedback into actionable insights.
Trigger Alerts
Triggers creation of a new case after customer leaves feedback.
Real-Time Analysis
Analyze collected feedback near or in real-time.
Real-Time Action
Trigger strategic workflows to quickly resolve issues and increase customer satisfaction.
System Management (2)
Security
Provides a secure and compliant system.
System Monitoring
Continually inspects, audits, and monitors system to keep it up to date.
Feedback Management (3)
Tagging
Tag content to organize and assign to specific departments or categories
Segmentation
Break down a population of users by demographics, sequence actions, time, and able to build custom segments.
Custom Reports and Dashboards
Allows users to easily build customized reports and dashboards.
Feedback Analysis (3)
Thematic Analysis
Identifies key phrases, themes, and patterns within a given text
Sentiment Analysis
Outputs the sentiment (positive or negative) of a given text
NPS/CSAT Scoring
Measures and reports on NPS, CSAT, or other metrics over time
Feedback Sources (4)
Online Reviews
Analyzes feedback from online reviews
Surveys
Analyzes feedback from surveys through built-in survey features or integrations with survey tools
Social Media
Analyzes customer feedback from social media
Customer Service Channels
Analyzes feedback sourced from integrations with customer service tools, such as help desks and live chat
Setup (3)
Integration
Provides the ability to import data from a variety of sources and in multiple data formats.
Maintenance
Consistently maintains, updates, and tests data sources to ensure quality.
No-Code
Allows users to analyze data easily without the need to code.
Data (2)
Security
Ensures privacy and security of customer data.
Data Visualization
Visualizes text data through charts and graphs.
Analysis (7)
Automation
Automates back-end technical manual processes.
Named entity recognition
Identifies entities such as organization, person name, location, etc
Keyphrase Extraction
Extracts keyphrases to determine patterns and themes within text.
Topic Analysis
Automatically identifies and organizes text based on topic or subject matter.
Sentiment Analysis
Utilizes sentiment analysis to capture user feedback.
Language Identification
Identifies the language in which text was written in.
Syntax/Part of Speech Parsing
Provides the ability to identify syntax and parts of speech.
Customization (3)
Pre-Built Parameterization
Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.
Custom Extension
Allow user to add custom functions to Analysis capabilities
Compositionality
User created models can be used as features/pre-built in other models
Generative AI (6)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.





