Medallia Customer Experience Features

Calculates net promoter score (NPS) using customer feedback data.

Calculates customer satisfaction (CSAT) score using customer feedback data.

Calculates customer effort score (CES) using customer feedback data.

Provides gamification tools to incentivize employees to leverage customer feedback insights.

Provides insight concerning engagement with various stakeholders in regards to customer feedback and experience.

Allow users to create surveys and repond to customer feedback in a variety of languages.

Allows users to deploy surveys and intake feedback data for multiple brands.

Vendor provides industry- or role-specific experience management solutions.

Add customized logos and colors to align with company branding

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

Create, design and manage workflows for repetitive tasks

Manage, store and organize emails within the system or via third-party apps

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

Create and administer polls and surveys

Identify, track, and respond to negative feedback

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

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.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Manage and support multiple languages

Active reporting of data and metrics

Assemble applications and processes by dragging over and arranging pre-built components

Gauge satisfaction and receive information for improvement and success

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Measuring and analyzing Net Promoter Scores to evaluate customer loyalty and satisfaction levels

Customize contracts and forms to collect specific information

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

Graphical representation of data

Process of dividing customers into groups based on common characteristics

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Visualize and analyze customer experience across all touchpoints and channels

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

Alter the layout and content of reports

Notifications that are delivered to users as soon as an event occurs

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Define levels of authorization for access to specific files or systems

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Collect information from multiple sources

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Customize data fields to support various needs and use cases

Analyze and gain insights into data in real-time

Predict future data based on historical data sets

Provides a channel for team members to share media files, communicate, and work together

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

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

Application programming interface that allows for integration with other systems/databases

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

Tracks metrics that provide insight into how a user interacts with any interface or product

Pre-designed layouts that can be customized to match preferences and requirements

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

Collect information from and communicate with customers or users across multiple channels, such as email, phone, live chat, web, and other touchpoints.