📢 Gainsight's PX May 2022 Release is Live!


Userlevel 3
  • Gainsight Employee: Shoshin
  • 2 replies

The PX May release is now live in US and EU orgs! 

 

We have delivered new features and enhancements to help you get started faster and simplify your PX user experience. Check out our release notes for more information.

Release Highlights:

  • Content Recommendation In KC Bot: Define URL rules and Global context rules to deliver personalized and context-based content recommendations to your end-users.  

  • Trigger Engagements using Survey score: Trigger engagements for a group of users based on their response to Survey Engagements.

  • Multi-Product Widgets in Dashboards: Create Custom Dashboards and add audience widgets related to various products of your subscription. This helps to analyze the performance of different products in the same dashboard.

  • Improved Reports Home: The Reports section in Analytics is now improved for better visibility and accessibility. View two separate list view pages for My Reports and Shared Reports and many more usability enhancements.

  • Create Multi-Product Funnels: Now create Funnels to track the user journeys across multiple products.

  • KPI View in Audience Widgets: Track KPIs effortlessly with the new KPI view in select Audience Widgets.
RELEASE NOTES

 

FYI @dstokowski @minh_phan @mickey @harshibanka @skalle @Chandu @neelam_mukherjee @Sania Ahmed @anirbandutta 

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5 replies

Userlevel 6

Congrats @skalle , @aharkut, @Chandu  and teams! 🎊 

Userlevel 2

I see Content Recommendation when working on engagements, but this feature is flagged as beta. Do you know when the feature will be out of beta? 

Userlevel 4

Adding @aharkut for more information.

FYI @Divya  

Userlevel 3

I see Content Recommendation when working on engagements, but this feature is flagged as beta. Do you know when the feature will be out of beta? 

@mmarques, it would be out of Beta in June/ July timeframe. We have called it Beta because there are enhancements which are being worked upon. Eg: Support for User/ Account attributes in Recommendation Rules.

Userlevel 2

Thanks, @aharkut 

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