unitQ Features

Creates feedback forms that are consistent with the design of the site.

Supports the creation and deployment of different survey types on different channels or devices.

Solicits, captures, and centralizes feedback from both structured and unstructured sources.

Allows designs to adapt automatically to the device that users access the survey or software.

Aggregates feedback and transforms feedback into actionable insights.

Triggers creation of a new case after customer leaves feedback.

Analyze collected feedback near or in real-time.

Trigger strategic workflows to quickly resolve issues and increase customer satisfaction.

Provides a secure and compliant system.

Continually inspects, audits, and monitors system to keep it up to date.

Tag content to organize and assign to specific departments or categories

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Allows users to easily build customized reports and dashboards.

Identifies key phrases, themes, and patterns within a given text

Outputs the sentiment (positive or negative) of a given text

Measures and reports on NPS, CSAT, or other metrics over time

Analyzes feedback from online reviews

Analyzes feedback from surveys through built-in survey features or integrations with survey tools

Analyzes customer feedback from social media

Analyzes feedback sourced from integrations with customer service tools, such as help desks and live chat

Provides the ability to import data from a variety of sources and in multiple data formats.

Consistently maintains, updates, and tests data sources to ensure quality.

Allows users to analyze data easily without the need to code.

Ensures privacy and security of customer data.

Visualizes text data through charts and graphs.

Automates back-end technical manual processes.

Identifies entities such as organization, person name, location, etc

Extracts keyphrases to determine patterns and themes within text.

Automatically identifies and organizes text based on topic or subject matter.

Utilizes sentiment analysis to capture user feedback.

Identifies the language in which text was written in.

Provides the ability to identify syntax and parts of speech.

Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.

Allow user to add custom functions to Analysis capabilities

User created models can be used as features/pre-built in other models

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.