Early Guidance for the February 12th Release
Here's what to look for in the February 12th release.
The guidance in this document is offered for early planning purposes and is subject to change up to the time of release.
Social
Create a Generative AI post description from a prompt
Problem Solved: With the current Generative AI function, users have to provide words and phrases they want to include in the text of a post description, but cannot write a prompt, which is how most generative AI tools commonly work.
Expected Value: The new Generative AI prompt feature will give users the option to more freely generate text based on questions or descriptive commands of what they are trying to write.
Expected Solution: After clicking New Post with AI, users will be able to choose whether to create description text using words and phrases (current way), or by writing a prompt. Prompts can be questions or commands, and include the main subject(s) of the post and, optionally, the approximate length.
Example prompts that can generate useful result are:
- Why is property insurance important during the winter season?
- Write a short social post about the need for property insurance in winter.
- Write a post about winter, snow, and property damage in four sentences or less.
- Write a Facebook post about wealth, savings, and preparing for the future.
After the user clicks Generate Post Description, the tool will function the same way it currently does. Hearsay sends a prompt to Jasper, our secure third-party AI partner, with the specified requirements, and the engine sends back three options for description text. The user selects a version and copies it into the Post Publisher where they can add images and links or make edits before publishing. Hearsay never sends customer data to Jasper, we only send the specifications for the post description.
Prompt page:
Generated description options:
Archiving and Compliance Implications: The AI generated post is being sent to Supervision as any other post created by the user. The Compliance Admin receives a note for the Supervision item saying that the post has been generated by AI.
Availability: Off for all organizations, but can be turned on by contacting Support.
Sites
Testimonials for Sites
Problem Solved: Testimonials are helpful for fostering trust and credibility; however, there is not currently a way to display testimonials on Hearsay websites that is compliant with SEC regulations, and approved testimonials from social media platforms cannot be shared to Hearsay websites.
Expected Value: Displaying compliant testimonials provides proof of positive client experiences, which can attract new clients and drive the conversion rate of the website.
Expected Solution: Testimonials for Sites, available for the newest version of Sites, enables users to share their approved Facebook Reviews and LinkedIn Recommendations on their websites to build trust and increase conversion rate.
To show approved testimonials on websites, the following must be true:
- The New Marketing Rule testimonial feature must be enabled by an admin.
- The Testimonials on Sites feature must be enabled for the organization via Hearsay Support.
- The user must have a website template that supports displaying the testimonials.
This feature automatically pushes all the approved testimonials to the website.
Who is impacted: Advisor/Agent, Client, Integrator
Archiving and Compliance Implications: N/A
Availability: Off for all organizations, but can be turned on by contacting Support.
Data & Analytics
Generative AI post and enablement reporting
Problem Solved: Currently, the admins cannot report on which workspaces have Generative AI enabled, or compare the performance of posts created using Generative AI versus manually created posts.
Expected Value: Generative AI reporting will give admins more insight into the success of AI for social media engagement and usage metrics by Hearsay users, and allow admins to more easily view and manage Generative AI access at the workspace level.
Expected Solution: The Workspace Directory report will now have a GenAI enabled column with true/false values in the fields, indicating whether the Generative AI feature has been enabled for users in the workspace.
Additionally, the Post All Data report now has a GenAI supported column with true/false values, indicating whether the text description of the post was created using Generative AI. This allows admins to filter for Generative AI posts and check their performance against manually created posts.
Who is impacted: Program Admin, Marketing Admin
Archiving and Compliance Implications: N/A
Availability: On for all organizations.
Localization of admin dashboards
Problem Solved: Currently, the in-app admin dashboards have English text displayed, regardless of the user’s language setting.
Expected Value: Admins who prefer a language other than English will have a better user experience when using dashboards.
Expected Solution: All texts on the dashboard and the headers in the tables will be available in the preferred language configured by the admin in their user settings.
Who is impacted: Program Admin, Marketing Admin, Compliance Admin
Archiving and Compliance Implications: N/A
Availability: On for all organizations.
User Maturity Model is enhanced with share/repost and click types of engagement data
Problem Solved: The Say Score in the User Maturity Model includes engagement data, such as likes and comments, but does not include other types of engagement data, such as shares/reposts and clicks. This gap makes the Say Score a partial measurement because important types of engagement data are not taken into account.
Expected Value: Improving the types of data considered by the User Maturity Model will increase the value of the report as well as help businesses measure social media usage with more accuracy.
Expected Solution: The User Maturity Model and correspondingly, the data in the User Maturity Model admin report will be enhanced with data on shares/reposts and clicks. All types of engagement data that Hearsay archives and creates reports on will be included in the User Maturity Model’s model Say Score. The following engagement data from supported social media networks will be used in calculating the Say Score:
- Facebook: likes, comments, shares, and clicks
- LinkedIn: likes, comments, and clicks
- X (formerly Twitter): likes, reposts, and clicks
- Instagram: likes and comments
Who is impacted: Program Admin, Marketing Admin
Archiving and Compliance Implications: N/A
Availability: On for all organizations
User Maturity Model admin report now also includes the Workspace Owner Email field
Problem Solved: The User Maturity Model admin report does not include the workspace owner’s email address, which makes it time-consuming for admins to track down and contact workspace owners.
Expected Value: Admins will not have to manually map the workspace owners' IDs with email addresses, and they will be able to easily get workspace owners’ contact information.
Expected Solution: The User Maturity Model admin report will be extended with a new Workspace Owner Email field.
Who is impacted: Program Admin, Marketing Admin
Archiving and Compliance Implications: N/A
Availability: On for all organizations
Alerts Summarized by Keyword admin report now includes a Description field
Problem Solved: The Alerts Summarized by Keyword report can have Regular Expressions (RegEx) terms in the Keyword field, making it very difficult to identify and analyze those terms. RegEx terms don’t give any clear indication of what they are alerting on and as a result, there is no efficient way to flag concerns with certain terms or determine the effectiveness of others.
Expected Value: By extending the Alerts Summarized by Keyword admin report with a Description field, admins will be able to see the compliance terms behind the RegEx definitions.
Expected Solution: The Alerts Summarized by Keyword admin report will be extended with a new Description field that shows the compliance terms behind the RegEx definitions.
Who is impacted: Compliance Admin
Archiving and Compliance Implications: N/A
Availability: On for all organizations
Auto-subscription column added to the Dynamic Relative Campaign Overview report
Problem Solved: Currently, the admins cannot easily tell whether auto-subscription is enabled for users when they subscribe to a campaign.
Expected Value: Visibility into auto-subscription enablement allows admins to see if they need to configure auto-subscriptions for campaigns, and gives admins insight into which campaigns they can encourage users to auto-subscribe to when the functionality is enabled.
Expected Solution: The Dynamic Relative Campaign Overview report will have a new Auto-subscription column with enabled/disabled fields, which indicate whether users can auto-subscribe to the campaign.
Who is impacted: Program Admin, Marketing Admin
Archiving and Compliance Implications: N/A
Availability: On for all organizations.