Weekly Product Release Notes - October 1, 2020 | XM Community

Weekly Product Release Notes - October 1, 2020

  • 1 October 2020
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Entries that are bolded indicate recent product updates.

  • If you have any questions about the product updates featured in this list, our support team is happy to help you with your request. 

  • If you have questions about what’s on the product roadmap, please see our Product Updates page. If you’d like to contribute to the product roadmap, please visit the Product Ideas category.

  • Website / App Feedback


    1. Creating a Website / Feedback Project: The project creation flow has become more guided, enabling newbies and super-users alike to get the most out of their DX programs. This user interface update is being released in phases, and may not be available in your account yet.

    2. A/B Testing in Website Feedback: A new support page explaining how to test the performance of 2 or more creatives against each other, from building the intercepts to reporting on data.

    3. EX


    4. Bubble Chart Widget: Added ability to change the displayed metric on the widget between favorability and average. 

    5. Participant Tools: New option in participant tools: Update Data & Analysis with Current Participant Metadata. With this release comes the ability to directly edit metadata field values in D&A for Lifecycle projects only. 

    6. CX


    7. B2B Command Center: Added ability to customize account cards in the strategic accounts widget. 

    8. XM Directory


    9. SMS Distributions in XM Directory: You can now distribute SMS distributions in XM Directory.

    10. Distribution Automations: Added functionality for percentage based contact sampling. 

    11. Creating a Mailing List Sample: Added functionality for percentage based contact sampling. 

    12. PX


    13. Simulating Packages (PX): New reports for conjoint pricing studies. New reports are: demand estimation, profit projection, and revenue projection. 

    14. Configuring Conjoint Questions (PX): New option in conditional pricing to “vary prices to get feedback on price sensitivity” for running pricing studies.



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