Skip to main content
Loading...
Skip to article
  • Qualtrics Platform
    Qualtrics Platform
  • Customer Journey Optimizer
    Customer Journey Optimizer
  • XM Discover
    XM Discover
  • Qualtrics Social Connect
    Qualtrics Social Connect

Omnichannel Listening Management


Was this helpful?


This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

The feedback you submit here is used only to help improve this page.

That’s great! Thank you for your feedback!

Thank you for your feedback!


Qtip: This page describes functionality that we intend to release starting February 18, 2026. Qualtrics may, in its sole discretion and without liability, change the timing of any product feature rollout, change the functionality for any in preview or in development product feature, or choose not to release a product feature or functionality for any reason or for no reason.

About Omnichannel Listening

Omnichannel listening is the practice of tracking and analyzing what your customers are saying in conversations with your organization. By importing chat, email, and voice data into Qualtrics, you can gain insights on customer sentiment and agent performance.

Workflows can pull contact center data into Qualtrics for text analysis and dashboard creation. There are several workflow tasks that can help you import data into Qualtrics from your contact center vendors:

Contact center data should be imported into a project configured to receive chat, email, or voice data. The following project types can be used depending on the type(s) of data you have:

On this support page, we’ll cover how to achieve an omnichannel listening setup end-to-end, from workflow creation, to the best dashboard presentation.

Attention: The setup of an Omnichannel Listening program is conducted by the Qualtrics Implementations team. If you have questions about your implementation or if this feature is available for your license, please reach out to your Qualtrics account team.
Attention: Voice projects have a different setup than chat data and email data projects. While the same instructions can be followed to configure chat data and email data projects, voice projects have distinct instructions, and the differences are called out below on this page.
Qtip: AI Powered topics and importing voice data only works with English data.

Permissions Required

To use this feature, you’ll need a Brand Administrator to enable the following user permissions for you or a user type you belong to:

  • General permissions:
    • Create Email Project (only necessary if you’re importing email data)
    • Create Chat Project (only necessary if you’re importing chat data)
    • Manage Voice Pipelines (only necessary if you’re importing voice data)
      Qtip: Voice projects also require certain permissions with your voice provider. See Permissions and Voice Provider Requirements for more information.
    • AI Assisted Text Analytics (for analyzing XM Discover data)
    • AI Text Analytics (for analyzing Qualtrics Platform data)
  • Extension permissions:
    • Extract data from Genesys
    • Extract data from NICE CXone
    • Extract data from Salesforce

Step 1: Creating a Project

Before you start regularly pulling data from your contact center into Qualtrics, you need to create a project in which you can store this data. All of your contact center data can eventually be displayed in the same dashboard, so if you have multiple types of data to import, you will create multiple projects.

Chat and Email Data

If you have chat or email data to import into Qualtrics, see the linked resources below for step-by-step instructions on creating each type of project:

Qtip: Data from multiple contact center sources can be added to the same Chat Data or Email Data project.

Voice Data

If you have voice data to import into Qualtrics, see the linked resource below for step-by-step instructions:

Step 2: Creating Contact Center Tasks

Chat and Email Data

  1. After creating a Chat Data or Email Data project, navigate to the main page. Click Connect next to the chat or email channel of your choice.
    main page of a chat channels project with the button to connect a contact center provider
  2. Set a schedule.
    window where you schedule the workflow

    Qtip: You will also be able to immediately run the workflow after it’s created, if you choose.
  3. Add a task.
    facebook and insta extraction tasks
  4. Select one of the following:
  5. Complete the extraction task setup before you proceed to the next step.
Qtip: While we recommend creating these workflows in your email data or chat data project, they can also be created within stand-alone global workflows.

Voice Data

After creating a Voice project, create a voice task to import your voice data. See Configuring a Voice Task for step-by-step instructions.

Step 3: Modifying Data

Attention: This step only applies to chat and email data. It does not apply to voice data.

After you’ve connected a workflow to extract data from your contact center, if desired, you can transform your data by adding additional tasks to your workflow. The following tasks can be used to modify your data before it is loaded into your project:

  • Basic Transform Task: Make basic changes to your extracted fields.
  • Redact and Substitute Data Task: Redact or substitute specific fields from your data source.
    Qtip: Using a Redact and Substitute Data Task is helpful if you have sensitive data in your loader task that you’d like to protect, like customer contact or payment information.

Step 4: Loading Data to a Project

Attention: This step only applies to chat and email data. It does not apply to voice data.

After you’ve created an extraction task and set up any desired transformations to your data, you have to make sure the data is sent back to your project. Within the workflow you created, click Add a data destination.

button to add a data destination within a workflow

Select the Load Data to Conversational Analytics Task. For instructions on setting up this task, see Setting Up a Load Data to Conversational Analytics Task. The project you created in Step 1 will already be selected as the destination project.

Step 5: Analyzing Data

Once data starts to flow from your contact center to your project’s Data tab, it’s time to perform conversational analytics. To do this, first head to the Text Analytics tool, which will identify key themes and categories with the power of AI.

To learn more, see AI-Powered Topic Models.

Qtip: AI-Powered Topics come with support from a Qualtrics representative, such as an Implementation Consultant or a Technical Success Manager. This representative will take care of implementing Text Analytics into a dashboard data setup.

Step 6: Building Dashboards

After your contact center data is in Qualtrics, it can be reported on using dashboards. Dashboards allow you to pull in data from many sources, build charts and tables with dynamic filtering, and then provide role-based access to your stakeholders.

Below are some resources you can use to get started:

  • Getting Started With CX Dashboards: If you’re new to dashboards, use this series of pages to learn the feature end-to-end, from initial dashboard design, to sharing the final product with stakeholders.
  • Using Multiple Datasets in a Dashboard: One of the easiest ways to make sure all of your conversational data makes its way into the same dashboard is to use multiple datasets. With this option, you can create 1 dataset for each project, add them each to the same dashboard, then link the fields that the projects have in common.
  • Creating a Data Model and Joins: Data models allow you to use left outer joins, a means of combining data records that’s different from merging or linking fields. If you’re a more experienced dashboard designer or have complex data needs, you may want to try joins.

FAQs