Birdie Features

Provides tools for evaluating customer interactions

Offers features for maintaining fair and consistent scoring

Generates quality and performance reports

Tools for providing personalized feedback and coaching sessions

Provides a centralized dashboard for agents to view their scores and feedback

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

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

Helps ensure customer privacy and data protection

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

Keeps sensitive user data secure and compliant.

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

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

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

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.

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

Ensures privacy and security of customer data.

Visualizes text data through charts and graphs.

Interact with data visualization elements, such as charts and graphs, to drill down into data

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.

Manage and support multiple languages

Review data from past periods to reveal recurring tendencies and predict future performance

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

Apply statistical/mathematical models to sets of data

Analyze and gain insights into user experience

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Visualize and analyze customer experience across all touchpoints and channels

Conduct & deliver coaching sessions to improve employee performance or facilitate development

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

Focuses on improving processes by collecting data and spotting bottlenecks or other challenges.

Boards that use custom metrics to show how leading performers compare to other individuals/teams

View and track pertinent metrics to find patterns and gain insights from data

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Tracking the status of previously identified performance measurements

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

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Create multiple models or equations for generating scores

Receive system updates as soon as any changes are made

Track interaction history by documenting conversations for contacts

Software program that continuously adjusts its behavior based on observed data

Process of gathering, measuring, and analyzing accurate data

Define levels of authorization for access to specific files or systems

Predict future data based on historical data sets

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

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

Import and export data to and from software applications

Combining elements of both quantitative and qualitative data to conduct research

Supports various file formats

Organize and group data or items based on various criteria

Manage and store data in a database

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Allow users to access multiple services after entering their login credentials once

Highlight content and/or make notations about parts of content

Processing and organizing collected information to a set of meaningful and cohesive categories for further analysis

Allows users to manage data from a number of sources

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

Alter the layout and content of reports