Looppanel Features

Uses AI to accurately assess feedback sentiment based on keywords and phrases.

Provides tools for team members to group user research with customizable tags.

Allows team members to add notes to user feedback.

Integrates seemlessly with user research software that handles the outright gathering of user data.

Queries and pulls enterprise data into a singular knowledge respository

Stores and organizes synthesized data

Analyzes search results to identify trends and patterns

Retrieves search results using various capabilities, including AI, ML and NLP

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc

Tools for the systematic analysis of various types of data or statistics

Connect to big data sources

Manage and support multiple languages

Protect sensitive data for digital privacy

Search and filter data across systems to locate required information by entering keywords or certain criteria

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Gather, organize, share, and analyze knowledge in terms of resources, documents, and people skills

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Process and analyze human language in text or audio form

Set up connections to third-party platforms to improve business processes

Graphical representation of data

Algorithmically generated suggestions based on user behaviors, preferences, or data patterns to enhance UX, productivity, or engagement

Define levels of authorization for access to specific files or systems

Data is backed up automatically to prevent data loss

Track and manage adherence to policies for any service, product, process, or supplier

Analyze data and automatically generate insights using AI/ML technologies

Collect, process and structure data from multiple sources for further analysis

Helps understand a user's intentions/actions

Compile and organize data into specific metrics

Adjust communications based on previous interactions or personal preferences

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and interpret metrics on the usage of company resources

Grouping log entries based on similar attributes.

Discover and connect variety of data sources to the application for analysis

Track and analyse user behavior within a system or network

Import, collect, and capture data from multiple sources

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to manage data from a number of sources

Use AI to generate content in the form of text, images, videos, etc.

Provides a simple, intuitive search interface for users

Leverages artificial intelligence technology to empower search

Leverages natural language processing technology to empower search

Crawls within the enterprise and outside the enterprise for data points

Provides filters for refined navigation

Leverages machine learning technology to empower search

Search for specific words or phrases within a document or database

Software program that continuously adjusts its behavior based on observed data

Provides a highly collaborative user research hub to the benefit of all relevant team members.

Allows administrators to designate access and data permissions to individual team members.

Keeps sensitive user data secure and compliant.